Jin, J., Yan, J., Aseltine, R. H., & Chen, K. (n.d.). Transfer learning with large-scale quantile regression. Technometrics.
Chandy, M., Schifano, E. D., & Yan, J. (2024). On sample size needed for block bootstrap confidence intervals to have desired coverage rates. American Journal of Undergraduate Research, 20(4), 3–16.
Choi, D., Bae, W., Yan, J., & Kang, S. (2024). A general model-checking procedure for semiparametric accelerated failure time models. Statistics and Computing, 34(3), 117.
Lautier, J. P., Pozdnyakov, V., & Yan, J. (2024). On the maximum likelihood estimation of a discrete, finite support distribution under left-truncation and competing risks. Statistics & Probability Letters, 207, 109973.
Yang, Z., Wang, H., & Yan, J. (2024). Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data. Statistics and Computing, 34(2), 77.
Yuan, Y., Yan, J., & Zhang, P. (2024). A strength and sparsity preserving algorithm for generating weighted, directed networks with predetermined assortativity. Physica A: Statistical Mechanics and Its Applications, 638, 129634.
Bar, H., & Yan, J. (2023). Legendary career and colorful life: A conversation with Dr. Bob Riffenburgh. Journal of Data Science, 21(4), 818–837.
Chiou, S., Xu, G., Yan, J., & Huang, C.-Y. (2023). Regression modeling for recurrent events possibly with an informative terminal event using R package reReg. Journal of Statistical Software, 105(5), 1–34.
Lau, Y. T. A., Wang, T., Yan, J., & Zhang, X. (2023). Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes. Statistics and Computing, 33(6), 125.
Lautier, J. P., Pozdnyakov, V., & Yan, J. (2023). Estimating a discrete distribution subject to random left-truncation with an application to structured finance. Econometrics and Statistics.
Lautier, J. P., Pozdnyakov, V., & Yan, J. (2023). Pricing time-to-event contingent cash flows: A discrete-time survival analysis approach. Insurance: Mathematics and Economics, 110, 53–71.
Li, Y., Chen, K., Yan, J., & Zhang, X. (2023). Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation. Annals of Applied Statistics, 17(1), 225–239.
Ma, S., Wang, T., Yan, J., & Zhang, X. (2023). Optimal fingerprinting with estimating equations. Journal of Climate, 36(20), 7109–7122.
Wang, F., Wang, H., & Yan, J. (2023). Diagnostic tests for the necessity of weight in regression with survey data. International Statistical Review, 91(1), 55–71.
Wang, W., Luo, C., Aseltine, R. H., Wang, F., Yan, J., & Chen, K. (2023). Survival modeling of suicide risk with rare and uncertain diagnoses. Statistics in Biosciences.
Yuan, Y., Wang, T., Yan, J., & Zhang, P. (2023). Generating general preferential attachment networks with R package wdnet. Journal of Data Science, 21(3), 538–556.
Hu, C., Pozdnyakov, V., & Yan, J. (2022). On occupation time for on-off processes with multiple off-states. Modern Stochastics: Theory and Applications, 9(4), 413–430.
Jiao, J., Tang, Z., Yue, M., Zhang, P., & Yan, J. (2022). Cyberattack-resilient load forecasting with adaptive robust regression. International Journal of Forecasting, 38(3), 910–919.
Lau, A. Y. Z., & Yan, J. (2022). Bias analysis of generalized estimating equations under measurement error and practical bias correction. Stat, 11(1), e418.
Price, M., & Yan, J. (2022). The effects of the NBA COVID bubble on the NBA playoffs: A case study for home-court advantage. American Journal of Undergraduate Research, 18(4), 3–15.
Sun, Q., Zwiers, F., Zhang, X., & Yan, J. (2022). Quantifying the human influence on the intensity of extreme 1-and 5-day precipitation amounts at global, continental, and regional scales. Journal of Climate, 35(1), 195–210.
Wang, T., Yan, J., Yuan, Y., & Zhang, P. (2022). Generating directed networks with predetermined assortativity measures. Statistics and Computing, 32(5), 1–15.
Xiao, S., Yan, J., & Zhang, P. (2022). Incorporating auxiliary information in betweenness measure for input–output networks. Physica A: Statistical Mechanics and Its Applications, 607, 128200.
Yang, Z., Wang, H., & Yan, J. (2022). Optimal subsampling for parametric accelerated failure time models with massive survival data. Statistics in Medicine, 41(27), 5421–5431.
Yin, F., Jiao, J., Yan, J., & Hu, G. (2022). Bayesian nonparametric learning for point processes with spatial homogeneity: A spatial analysis of NBA shot locations. Proceedings of the 39th International Conference on Machine Learning, 162, 25523–25551.
Zhang, P., Wang, T., & Yan, J. (2022). PageRank centrality and algorithms for weighted, directed networks. Physica A: Statistical Mechanics and Its Applications, 586, 126438.
Chang, C. F., Garcia, V., Tang, C., Vlahos, P., Wanik, D., Yan, J., Bash, J. O., & Astitha, M. (2021). Linking multi-media modeling with machine learning to assess and predict lake chlorophyll \(\alpha\) concentrations. Journal of Great Lakes Research, 47(6), 1656–1670.
Chang, S.-Y., Jin, J., Yan, J., Dong, X., Chaudhuri, B., Nagapudi, K., & Ma, A. W. K. (2021). Development of a pilot-scale HuskyJet binder jet 3D printer for additive manufacturing of pharmaceutical tablets. International Journal of Pharmaceutics, 605, 120791.
Hu, C., Elbroch, M., Meyer, T., Pozdnyakov, V., & Yan, J. (2021). Moving-resting process with measurement error in animal movement modeling. Methods in Ecology and Evolution, 12(11), 2221–2233.
Jiao, J., Hu, G., & Yan, J. (2021). A Bayesian marked spatial point processes model for basketball shot chart. Journal of Quantitative Analysis in Sports, 17(2), 77–90.
Jiao, J., Hu, G., & Yan, J. (2021). Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse. Environmetrics, 32(7), e2694.
Li, Y., Chen, K., Yan, J., & Zhang, X. (2021). Uncertainty in optimal fingerprinting is underestimated. Environmental Research Letters, 16(8), 084043.
Wang, T., Xiao, S., Yan, J., & Zhang, P. (2021). Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input-output tables. Physica A: Statistical Mechanics and Its Applications, 126196.
Wang, T., & Yan, J. (2021). Discussion of “on studying extreme values and systematic risks with nonlinear time series models and tail dependence measure". Statistical Theory and Related Fields, 5(1), 38–40.
Wang, W., & Yan, J. (2021). Shape-restricted regression splines with R package splines2. Journal of Data Science, 19(3), 498–517.
Wang, Z., Jiang, Y., Wan, H., Yan, J., & Zhang, X. (2021). Toward optimal fingerprinting in detection and attribution of changes in climate extremes. Journal of the American Statistical Association, 116(533), 1–13.
Wu, J., Chen, M.-H., Schifano, E. D., & Yan, J. (2021). Online updating of survival analysis. Journal of Computational and Graphical Statistics, 30(4), 1209–1223.
Xue, Y., Yan, J., & Schifano, E. D. (2021). Simultaneous monitoring for regression coefficients and baseline hazard profile in Cox modeling of time-to-event data. Biostatistics, 22(4), 756–771.
Yuan, Y., Yan, J., & Zhang, P. (2021). Assortativity measures for weighted and directed networks. Journal of Complex Networks, 9(2), cnab017.
Doshi, R. P., Yan, J., & Aseltine Jr, R. H. (2020). Age differences in racial/ethnic disparities in preventable hospitalizations for heart failure in Connecticut, 2009-2015: A population-based longitudinal study. Public Health Reports, 135(1), 56–65.
Hu, C., Pozdnyakov, V., & Yan, J. (2020). Density and distribution evaluation for convolution of independent gamma variables. Computational Statistics, 35(1), 327–342.
Jiang, Y., Lee, M.-L. T., He, X., Rosner, B., & Yan, J. (2020). Wilcoxon rank-based tests for clustered data with R package clusrank. Journal of Statistical Software, 96(6), 1–26.
Li, Y., Li, Y., Qin, Y., & Yan, J. (2020). Copula modeling for data with ties. Statistics and Its Interface, 13(1), 103–117.
Pozdnyakov, V., Elbroch, L. M., Hu, C., Meyer, T., & Yan, J. (2020). On estimation for Brownian motion governed by telegraph process with multiple off states. Methodology and Computing in Applied Probability, 22, 1275–1291.
Vaughan, G., Aseltine, R., Chen, K., & Yan, J. (2020). Efficient interaction selection for clustered data via stagewise generalized estimating equations. Statistics in Medicine, 39(22), 2855–2868.
Wang, C., Schifano, E. D., & Yan, J. (2020). Geographical ratings with spatial random effects in a two-part model. Variance, 13(1), 141–160.
Wang, W., Aseltine, R., Chen, K., & Yan, J. (2020). Integrative survival analysis with uncertain event times in application to a suicide risk study. Annals of Applied Statistics, 14(1), 51–73.
Xu, G., Chiou, S. H., Yan, J., Marr, K., & Huang, C.-Y. (2020). Generalized scale-change models for recurrent event processes under informative censoring. Statistica Sinica, 30(4), 1773–1795.
Xue, Y., Wang, H., Yan, J., & Schifano, E. D. (2020). An online updating approach for testing the proportional hazards assumption with streams of survival data. Biometrics, 76(1), 171–182.
Aseltine, R. H., Wang, W., Benthien, R. A., Katz, M., Wagner, C., Yan, J., & Lewis, C. G. (2019). Reductions in race and ethnic disparities in hospital readmissions following total joint arthroplasty from 2005 to 2015. Journal of Bone and Joint Surgery, 101(22), 2044–2050.
Caplan, D. J., Li, Y., Wang, W., Kang, S., Marchini, L., Cowen, H., & Yan, J. (2019). Dental restoration longevity among geriatric and special needs patients. JDR Clinical & Translational Research, 4(1), 41–48.
Chiou, S. H., Huang, C.-Y., Xu, G., & Yan, J. (2019). Semiparametric regression analysis of panel count data: A practical review. International Statistical Review, 87(1), 24–43.
Pozdnyakov, V., Elbroch, L. M., Labarga, A., Meyer, T., & Yan, J. (2019). Discretely observed Brownian motion governed by telegraph process: Estimation. Methodology and Computing in Applied Probability, 21(3), 907–920.
Bader, B., Yan, J., & Zhang, X. (2018). Automated threshold selection for extreme value analysis via goodness-of-fit tests with application to batched return level mapping. Annals of Applied Statistics, 12(1), 310–329.
Chiou, S. H., Xu, G., Yan, J., & Huang, C.-Y. (2018). Semiparametric estimation of the accelerated mean model with panel count data under informative examination times. Biometrics, 74(3), 944–953.
Hofert, M., Kojadinovic, I., Mächler, M., & Yan, J. (2018). Elements of copula modeling with R. Springer.
Wang, C., Chen, M.-H., Wu, J., Yan, J., Zhang, Y., & Schifano, E. (2018). Online updating method with new variables for big data streams. Canadian Journal of Statistics, 46(1), 123–146.
Bader, B., Yan, J., & Zhang, X. (2017). Automated selection of \(r\) for the \(r\) largest order statistics approach with adjustment for sequential testing. Statistics and Computing, 27(6), 1435–1451.
Vaughan, G., Aseltine, R., Chen, K., & Yan, J. (2017). Stagewise generalized estimating equations with grouped variables. Biometrics, 73(4), 1332–1342.
Wang, Z., Jiang, Y., Wan, H., Yan, J., & Zhang, X. (2017). Detection and attribution of changes in extreme temperatures at regional level. Journal of Climate, 30(17), 7035–7047.
Xu, G., Chiou, S., Huang, C.-Y., Wang, M.-C., & Yan, J. (2017). Joint scale-change models for recurrent events and failure time. Journal of the American Statistical Association, 112, 794–805.
Olayiwola, J. N., Anderson, D., Jepeal, N., Aseltine, R., Pickett, C., Yan, J., & Zlateva, I. (2016). Electronic consultations to improve the primary care-specialty care interface for cardiology in the medically underserved: A cluster-randomized controlled trial. Annals of Family Medicine, 14(2), 133–140.
Schifano, E. D., Wu, J., Wang, C., Yan, J., & Chen, M.-H. (2016). Online updating of statistical inference in the big data setting. Technometrics, 58(3), 393–403.
Vaughan, G., Aseltine, R., Chiou, S. H., & Yan, J. (2016). An alarm system for flu outbreaks using google flu trend data. In J. Lin, B. Wang, X. Hu, K. Chen, & R. Liu (Eds.), Statistical applications from clinical trials and personalized medicine to finance and business analytics: Selected papers from the 2015 ICSA/Graybill applied statistics symposium, colorado state university, fort collins (pp. 293–304). Springer International Publishing.
Wang, C., Chen, M.-H., Schifano, E., Wu, J., & Yan, J. (2016). Statistical methods and computing for big data. Statistics and Its Interface, 9(4), 399–414.
Wang, W., Chen, M.-H., Chiou, S. H., Lai, H.-C., Wang, X., Yan, J., & Zhang, Z. (2016). Onset of persistent pseudomonas aeruginosa infection in children with cystic fibrosis with interval censored data. BMC Medical Research Methodology, 16(122), 1–10.
Aseltine, Jr., R, Yan, J., Fleischman, S., Katz, M., & DeFrancesco, M. (2015). Racial and ethnic disparities in hospital readmissions after delivery. Obstetrics and Gynecology, 126(5), 1040–1047.
Aseltine, R. H., Yan, J., Gruss, C. B., Wagner, C., & Katz, M. (2015). Connecticut hospital readmissions related to chest pain and heart failure: Differences by race, ethnic, and payer. Connecticut Medicine, 79(2), 69–76.
Chi, Z., Pozdnyakov, V., & Yan, J. (2015). On expected occupation time of Brownian bridge. Statistics and Probability Letters, 97, 83–87.
Chiou, S. H., Kang, S., & Yan, J. (2015). Rank-based estimating equations with general weight for accelerated failure time models: An induced smoothing approach. Statistics in Medicine, 34(9), 1495–1510.
Chiou, S. H., Kang, S., & Yan, J. (2015). Semiparametric accelerated failure time modeling for clustered failure times from stratified sampling. Journal of the American Statistical Association, 110(510), 621–629.
Chiou, S., Kang, S., & Yan, J. (2015). Change point analysis of top baseball batting average. In D. K. Dey & J. Yan (Eds.), Extreme value modeling and risk analysis: Methods and applications (pp. 493–504). Taylor & Francis.
Dey, D. K., Roy, D., & Yan, J. (2015). Univariate extreme value analysis. In D. K. Dey & J. Yan (Eds.), Extreme value modeling and risk analysis: Methods and applications (pp. 1–22). Taylor & Francis.
Dey, D. K., & Yan, J. (Eds.). (2015). Extreme value modeling and risk analysis: Methods and applications. Taylor & Francis.
Jiang, Y., Dey, D. K., & Yan, J. (2015). Multivariate extreme value analysis. In D. K. Dey & J. Yan (Eds.), Extreme value modeling and risk analysis: Methods and applications (pp. 23–39). Taylor & Francis.
Kojadinovic, I., Shang, H., & Yan, J. (2015). A class of goodness-of-fit tests for spatial extremes models based on max-stable processes. Statistics and Its Interface, 8(1), 45–62.
Prates, M. O., Dey, D. K., Willig, M. R., & Yan, J. (2015). Transformed Gaussian Markov random fields and spatial modeling of species abundance. Spatial Statistics, 14, 382–399.
Shang, H., Yan, J., & Zhang, X. (2015). A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes. The Annals of Applied Statistics, 9(1), 452–473.
Chiou, S. H., Kang, S., & Yan, J. (2014). Fitting accelerated failure time models in routine survival analysis with R package aftgee. Journal of Statistical Software, 61(11), 1–23.
Chiou, S., Kang, S., Kim, J., & Yan, J. (2014). Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations. Lifetime Data Analysis, 20(4), 599–618.
Chiou, S., Kang, S., & Yan, J. (2014). Fast accelerated failure time modeling for case-cohort data. Statistics and Computing, 24(4), 559–568.
Pozdnyakov, V., Meyer, T., Wang, Y.-B., & Yan, J. (2014). On modeling animal movements using Brownian motion with measurement error. Ecology, 95(2), 247–253.
Wang, Z., Yan, J., & Zhang, X. (2014). Incorporating spatial dependence in regional frequency analysis. Water Resources Research, 50(12), 9570–9585.
Yan, J., Chen, Y., Lawrence-Apfel, K., Ortega, I. M., Pozdnyakov, V., Williams, S., & Meyer, T. (2014). A moving–resting process with an embedded Brownian motion for animal movements. Population Ecology, 56(2), 401–415.
Yan, J., Guo, C., & Paarlberg, L. E. (2014). Are antipoverty nonprofit organizations located where they are needed? Spatial analysis of the Greater Hartford region. American Statistician, 68(4), 243–252.
Prates, M. O., Aseltine, R. H., Dey, D. K., & Yan, J. (2013). Assessing intervention efficacy on high-risk drinkers using generalized linear mixed models with a new class of link functions. Biometrical Journal, 55(6), 912–924.
Wang, X., Chen, M.-H., & Yan, J. (2013). Bayesian dynamic regression models for interval censored survival data with application to children dental health. Lifetime Data Analysis, 19(3), 297–316.
Wang, X., Ma, S., & Yan, J. (2013). Augmented estimating equations for semiparametric panel count regression with informative observation times and censoring time. Statistica Sinica, 23(1), 359–381.
Wang, X., & Yan, J. (2013). Practical notes on multivariate modeling based on elliptical copulas. Journal de La Société Française de Statistique, 154(1), 102–115.
Yan, J., Aseltine, R. H., Jr., & Harel, O. (2013). Comparing regression coefficients between nested linear models for clustered data with generalized estimating equations. Journal of Educational and Behavioral Statistics, 38(2), 172–189.
Cavallo, A., Rosenthal, B., Wang, X., & Yan, J. (2012). Treatment of the data collection threshold in operational risk: A case study using the lognormal distribution. Journal of Operational Risk, 7(1), 3–38.
Chen, D. C. R., Kirshenbaum, D. S., Yan, J., Kirshenbaum, E., & Aseltine, R. H. (2012). Characterizing changes in student empathy throughout medical school. Medical Teacher, 34(4), 305–311.
Havens, E. K., Martin, K. S., Yan, J., Dauser-Forrest, D., & Ferris, A. M. (2012). Federal nutrition program changes and healthy food availability. American Journal of Preventive Medicine, 43(4), 419–422.
Kojadinovic, I., & Yan, J. (2012). A non-parametric test of exchangeability for extreme-value and left-tail decreasing bivariate copulas. Scandinavian Journal of Statistics, 39(3), 480–496.
Kojadinovic, I., & Yan, J. (2012). Goodness-of-fit testing based on a weighted bootstrap: A fast large-sample alternative to the parametric bootstrap. Canadian Journal of Statistics, 40(3), 480–500.
Wang, X., Sinha, A., Yan, J., & Chen, M.-H. (2012). Bayesian inference of interval-censored survival data. In D.-G. Chen, J. Sun, & K. E. Peace (Eds.), Interval-censored time-to-event data: Methods and applications (pp. 167–196). CRC Press.
Yan, J., & Huang, J. (2012). Model selection for Cox models with time-varying coefficients. Biometrics, 68(2), 419–428.
Yan, J., Liao, G.-Y., Gebremichael, M., Shedd, R., & Vallee, D. R. (2012). Characterizing the uncertainty in river stage forecasts conditional on point forecast values. Water Resources Research, 48(12), W12509.
Allignol, A., Latouche, A., Yan, J., & Fine, J. P. (2011). A regression model for the conditional probability of a competing event: Application to monoclonal gammopathy of unknown significance. Journal of the Royal Statistical Society, Series C: Applied Statistics, 60(1), 135–142.
Gebremichael, M., Liao, G.-Y., & Yan, J. (2011). Nonparametric error model for high resolution satellite rainfall products. Water Resources Research, 47, W07504–W07513.
Genest, C., Kojadinovic, I., Nešlehová, J., & Yan, J. (2011). A goodness-of-fit test for bivariate extreme value copulas. Bernoulli, 17(1), 253–275.
Guan, Y., Yan, J., & Sinha, R. (2011). Variance estimation for statistics computed from single recurrent event processes. Biometrics, 67(3), 711–718.
Harel, O., Mukhopadhyay, N., & Yan, J. (2011). On a sequential probability ratio test subject to incomplete data. Sequential Analysis, 30, 441–456.
Kojadinovic, I., Segers, J., & Yan, J. (2011). Large-sample tests of extreme-value dependence for multivariate copulas. Canadian Journal of Statistics, 39(4), 703–720.
Kojadinovic, I., & Yan, J. (2011). A goodness-of-fit test for multivariate multiparameter copulas based on multiplier central limit theorems. Statistics and Computing, 21(1), 17–30.
Kojadinovic, I., & Yan, J. (2011). Tests of serial independence for multivariate time series based on a Möbius decomposition of the independence empirical copula process. Annals of the Institute of Statistical Mathematics, 63(2), 347–373.
Kojadinovic, I., Yan, J., & Holmes, M. (2011). Fast large-sample goodness-of-fit for copulas. Statistica Sinica, 21(2), 841–871.
Prates, M. O., Dey, D. K., Willig, M. R., & Yan, J. (2011). Intervention analysis of hurricane effects on snail abundance in a tropical forest using long-term spatio-temporal data. Journal of Agricultural, Biological, and Ecological Statistics, 16(1), 142–156.
Shang, H., Yan, J., Gebremichael, M., & Ayalew, S. M. (2011). Trend analysis of extreme precipitation in the Northwestern Highlands of Ethiopia with a case study of Debre Markos. Hydrology and Earth System Sciences, 15(6), 1937–1944.
Shang, H., Yan, J., & Zhang, X. (2011). El Nin̈o–Southern Oscillation influence on winter maximum daily precipitation in California in a spatial model. Water Resources Research, 47, W11507–W11515.
Wang, X., & Yan, J. (2011). Fitting semiparametric regressions for panel count survival data with an R package spef. Computer Methods and Programs in Biomedicine, 104(2), 278–285.
Kojadinovic, I., & Yan, J. (2010). Comparison of three semiparametric methods for estimating dependence parameters in copula models. Insurance: Mathematics and Economics, 47(1), 52–63.
Kojadinovic, I., & Yan, J. (2010). Modeling multivariate distributions with continuous margins using the copula R package. Journal of Statistical Software, 34(9), 1–20.
Kojadinovic, I., & Yan, J. (2010). Nonparametric rank-based tests of bivariate extreme-value dependence. Journal of Multivariate Analysis, 101(9), 2234–2249.
Wang, X., Gebremichael, M., & Yan, J. (2010). Weighted likelihood copula modeling of extreme rainfall events in connecticut. Journal of Hydrology, 390(1–2), 108–115.
Yan, J., & Academic ED SBIRT Research Collaborative. (2010). The impact of screening, brief intervention and referral for treatment in emergency department patients’ alcohol use: A 3-, 6- and 12-month follow-up. Alcohol & Alcoholism, 45(6), 514–519.
Yan, J., Cheng, Y., Fine, J. P., & Lai, H.-C. (2010). Uncovering symptom progression history from disease registry data with application to young cystic fibrosis patients. Biometrics, 66(2), 594–602.
Cowles, M. K., Yan, J., & Smith, B. J. (2009). Reparameterized and marginalized posterior and predictive sampling for complex Bayesian geostatistical models. Journal of Computational and Graphical Statistics, 18(2), 262–282.
Yan, J., & Gebremichael, M. (2009). Estimating actual rainfall from satellite rainfall products. Atmospheric Research, 92(4), 481–488.
Yan, J., & Huang, J. (2009). Partly functional temporal process regression with semiparametric profile estimating functions. Biometrics, 65(2), 431–440.
Smith, B. J., Yan, J., & Cowles, M. K. (2008). Unified geostatistical modeling for data fusion and spatial heteroskedasticity with R package ramps. Journal of Statistical Software, 25(10), 1–21.
Yan, J., & Fine, J. P. (2008). Analysis of episodic data with application to recurrent pulmonary exacerbations in cystic fibrosis patients. Journal of the American Statistical Association, 103(482), 498–510.
Stramer, O., & Yan, J. (2007). Asymptotics of an efficient Monte Carlo estimation for the transition density of diffusion processes. Methodology & Computing in Applied Probability, 9(4), 483–496.
Stramer, O., & Yan, J. (2007). On simulated likelihood of discretely observed diffusion processes and comparison to closed-form approximation. Journal of Computational and Graphical Statistics, 16(3), 672–691.
Yan, J. (2007). Enjoy the joy of copulas: With a package copula. Journal of Statistical Software, 21(4), 1–21.
Yan, J. (2007). Spatial stochastic volatility for lattice data. Journal of Agricultural, Biological, and Environmental Statistics, 12(1), 25–40.
Yan, J., Cowles, M. K., Wang, S., & Armstrong, M. P. (2007). Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. Statistics and Computing, 17(4), 323–335.
Yan, J., & Tamboli, C. P. (2007). Testing concordance of clinical characteristics in familial studies with application to inammatory bowel diseases. Biometrical Journal, 49(6), 840–853.
Halekoh, U., Højsgaard, S., & Yan, J. (2006). The R package geepack for generalized estimating equations. Journal of Statistical Software, 15/2, 1–11.
Yan, J. (2006). Multivariate modeling with copulas and engineering applications. In H. Pham (Ed.), Handbook of engineering statistics (pp. 973–990). Springer.
Yan, J., & Fine, J. P. (2005). Functional association models for multivariate survival processes. Journal of the American Statistical Association, 100(469), 184–196.
Fine, J. P., Yan, J., & Kosorok, M. R. (2004). Temporal process regression. Biometrika, 91(3), 683–703.
Yan, J., & Fine, J. (2004). Estimating equations for association structures (Pkg: P859-880). Statistics in Medicine, 23(6), 859–874.
Yan, J., & Fine, J. (2004). Reply to comment on “Estimating equations for association structures” (Pkg: 859-880). Statistics in Medicine, 23(6), 879–880.