#427 Joyee Ghosh, Aixin Tan, Lan Luo

Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data. February 202

#426 Feiran Jiao and Kung-Sik Chan

Maximum Likelihood Estimation of Cumulative Link Models via the MM algorithm. September 2022.

#425 Xun Li, Joyee Ghosh and Gabriele Villarini

Bayesian Negative Binomial Regression Model With Unobserved Covariates for Predicting the Frequency of North Atlantic Tropical Storms, May 2021.

#424 Hong Beng Lim and Nariankadu D. Shyamalkumar

A Semiparametric Method for Assessing Life Expectancy Evaluations, September, 2019.

#423 Sam Justice and Nariankadu D. Shyamalkumar

On a Tail Bound for Root-Finding in Randomly Growing Trees, May 2019.

#422 Nariankadu D. Shyamalkumar and Siyang Tao

On the Class of Tail Dependence Matrices Generated by t and One-Factor Copula Families, March 2019.

#421 Dale Zimmerman and Zhijiang (Van) Liu

FCSD Semivariogram for Detecting Pure Tail-down Structure (Regular Rooted Binary Tree with q Points per Segment)  November 2018.

#420 Nariankadu D. Shyamalkumar and Siyang Tao

On Tail Dependence Matrices--The Realization Problem for Parametric Families.  March 2018.

#419 Chan, Kung-Sik and Wang, Chao

Quasi-likelihood Estimation of a Censored Autoregressive Model With Exogenous Variables.  July 2016.

#418 Chan, Kung-Sik and Su, Fei

Quasi-likelihood Estimation of a Threshold Diffusion Process.  January 2015

#417 Ghosh, Joyee, and Ghattas, Andrew

Bayesian Variable Selection Under Collinearity.  June 2014.

#416 Lang, Joseph B.

Smoothing the Transition from Data to Statistical Inference. February 2014.

#415 Lang, Joseph B.

"A Closer Look at Testing the No-Treatment-Effect Hypothesis in a Comparative Experiment." February 2012.

#414 Ma, S., Huang, Y., Huang, J. and Fang, K.

"Gene Network-Based Cancer Prognosis Analysis with Sparse Boosting". October 2011.

#413 Liu, J., Ma, S. and Huang, J.

"Penalized Methods for Multiple Outcome Data in Genome-Wide Association Studies". October 2011.

#412 Jiang, D. and Huang, J.

"Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear Models". October 2011.

#411 Jin Liu, Jian Huang, Shuangge Ma and Kai Wang

"Incorporating Group Correlations in Genome-Wide Association Studies Using Smoothed Group Lasso", October 2011.

#410 Jin Liu, Kai Wang, Shuangge Ma and Jian Huang

"Accounting for Linkage Disequilibrium in Genome-Wide Association Studies: A Penalized Regression Method", October 2011.

#409 Jae Youn Ahn and N.D. Shyamalkumar

"On Computation of the Haezendonck Risk Measure: An Algorithm and its Complexity", August 2011.

#408 Jae Youn Ahn and N.D. Shyamalkumar

"Asymptotic Theory for the Empirical Haezendonck Risk Measure", August 2011.

#407 Kwang Woo Ahn and Kung-Sik Chan

"On the Convergence Rate of the Unscented Transformation", July 2011.

#406 Kwang Woo Ahn, Michael Kosoy and Kung-Sik Chan

"Estimating and Ordinary Differential Eqution Model With Partically Observed Data", July 2011.

#405 Kwang Woo Ahn and Kung-Sik Chan

"Approximate Conditional Least Squares Estimation of a Nonlinear State-Space Model via Unscented Kalman Filter", July 2011.

#404 Jian Huang, Fengrong Wei and Shuangge Ma

"Semiparametric Regression Pursuit", November 2010.

#403 Jian Huang, Shuangge Ma, Hongzhe Li and Cun-Hui Zhang

"The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression", May 2010.

#402 Huang, J., Breheney, P., Ma, S. and Zhang, C.-H.

"The Mnet Method for Variable Selection", May 2010.

#401 Osnat Stramer and Matthew Bognar

"Bayesian Inference for Irreducible Diffusion Processes Using the Pseudo-Marginal Approach", September 2010.

#400 Bruno Casella, Garet Roberts and Osnat Stramer

"Stability of Partially Implicit Langevin Schemes and Their MCMC Variants", September 2009.

#399 Dai Feng and Luke Tierney

"MRI Tissue Classification Using High Resolution Bayesian Hidden Markov Normal Mixture Models", September 2009.

#398 Noelle I. Samia and Kung-Sik Chan

"Maximum Likelihood Estimation of a Generalized Threshold Model", June 2009.

"Version 2", May 2010.

#397 Kung-Sik Chan and Howell Tong

"A Note on the Invertibility of Nonlinear AMA Models", April 2009.

#396 Xiangming Fang and Kung-Sik Chan

"Generalized Additive Models with Spatio-temporal Data", April 2009.

#395 Hai Liu and Kung-Sik Chan

"Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis", March 2009.

#394 Jian Huang, Joel L. Horowitz, Fengrong Wei

"Variable Selection in Nonparametric Additive Models", November 2008.

#393 Patrick Breheny, Jian Huang

"Penalized Methods for Bi-level Variable Selection", November 2008.

#392 Jian Huang, Shuange Ma, Cun-Hui Zhang

"The Iterated Lasso for High-Dimensional Logistic Regression", November 2008.

#391 Kung-Sik Chan and Henghsiu Tsai

"Inference of Seasonal Long-memory Aggregate Time Series", March 2008.

#390 Osnat Stramer and Matt Bognar

"Bayesian Inference for Discretely Sampled Diffusion Processes: A New MCMC-Based Approach to Inference", March 2008.

#389 Kung-Sik Chan and Michael Kosoy

"Analysis of Multi-Strain Pathogens -- Species or Minor Genetic Variants?", February 2008.

#388 Hai Liu and Kung-Sik Chan

"Constrained Generalized Additive Model with Zero-Inflated Data", February 2008.
Second Version, March 2009.

#387 Fengrong Wei and Jian Huang

"Consistent Group Selection in High-Dimensional Linear Regression", November 2007.

#386 Xiaoli Gao and Jian Huang

"Detection of DNA Copy Number Variations Using Penalized Least Absolute Deviations Regression", December 2007.

#385 Brian Smith, Jun Yan and Mary Kathryn Cowles

"Unified Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R Package ramps", November 2007.

#384 Mary Kathryn Cowles, Jun Yan and Brian Smith

"Reparameterized and Marginalized Posterior and Predictive Sampling for Complex Bayesian Geostatistical Models", November 2007.

#383 Shuangge Ma and Jian Huang

"Regularized Biomarker Selection in Microarray Meta-Analysis", November 2007.

#382 Kwang Woo Ahn and Kung-Sik Chan

"Efficient Markov Chain Monte Carlo with Incomplete Multinomial Data", August 2007.

#381 Kwang Woo Ahn, Kung-Sik Chan, Ying Bai, and Michael Kosoy

"A Note on Bayesian Inference with Incomplete Multinomial Data with Applications for Assessing the Spatio-Temporal Variation in Pathogen-Variant Diversity", August 2007.

#380 John Geweke and Giovanni Amisano

"Hierarchical Markov Normal Mixture Models with Applications to Financial Asset Returns", August 2007.

#379 Dale L. Zimmerman, Xiangming Fang, and Soumya Mazumdar

"Spatial Clustering of the Failure to Geocode and its Implications for the Detection of Disease Clustering", August 2007.

#378 Russell V. Lenth

"Post Hoc Power: Tables and Commentary", July 2007.

#377 Jun Yan and Cyrus P. Tamboli

"Testing Condordance of Clinical Characteristics in Familial Studies with Application to Inflammatory Bowel Diseases", July 2007.

#376 Jian Huang, Shuangge Ma, Huiliang Xie, and Cun-Hui Zhang

"A Group Bridge Approach for Variable Selection", April 2007.

#375 Shuangge Ma, Xiao Song, and Jian Huang

"Supervised group Lasso with applications to microarray data analysis", March 2007.

#374 Jian Huang, Shuangge Ma, and Cun-Hui Zhang

"Adaptive LASSO for sparse high-dimensional regression models", November 2006.
Revision 1, June 2007.

#373 Dale Zimmerman, Xiangming Fang, Soumya Mazumdar, and Gerard Rushton

"Modeling the probability distribution of positional errors incurred by residential address geocoding", November 2006.

#372 Jun Yan, Mary Kathryn Cowles, Shaowen Wang, and Marc P. Armstrong

"Parallelizing MCMC for Bayesian Spatiotemporal Geostatistical Models", November 2006.

#371 Osnat Stramer and Jun Yan

"On simulated likelihood of discretely observed diffusion processes and comparison to closed-form approximation", November 2006.

#370 M.J.B. Appel and R.P. Russo

"On the h-diameter of a random point set", July 2006.

#369 Dale Zimmerman and Claire Pavlik

"Quantifying the Effects of Mask Metadata Disclosure and Multiple Releases on the Confidentiality of Geographically Masked Health Data", July 2006.

#368 Jerald Moon, David Kuehn, Grace Chan and Lili Zhao

"Induced Velopharyngeal Fatigue Effects in Speakers with Repaired Palatal Clefts", July 2006.

#367 Huiliang Xie and Jian Huang

"SCAD-Penalized Regression in High-Dimensional Partially Linear Models", July 2006.

#366 Ralph P. Russo and Nariankadu D. Shyamalkumar

"On the Convergence of the Empirical Mass Function", June 2006.

#365 Jun Yan

"Enjoy the Joy of Copulas", June 2006.

#364 Jun Yan and Jian Huang

"Partly Functional Temporal Process Regression with Semiparametric Profile Estimating Functions", June 2006.

#363 Dale Zimmerman and Peng Sun

"Estimating Spatial Intensity and Variation in Risk from Locations Subject to Geocoding Errors", June 2006.

#362 Dale Zimmerman

"Estimating Spatial Intensity and Variation in Risk from Locations Coarsened by Incomplete Geocoding", June 2006.

#361 Henghsiu Tsai and Kung-Sik Chan

"A Note on Inequality Constraints in the GARCH Model", June 2006.

#360 Jian Huang

"Asymptotic Properties of Bridge Estimators in Sparse High-Dimensional Regression Models", March 2006.

#359 Henghsiu Tsai and K.S. Chan

"A Note on the Non-negativity of Continuous-time ARMA and GARCH Processes", January 2006.

#358 Kung-Sik Chan and Howell Tong

"Estimating the Death Rate of an Emerging Infectious Disease by Time Series Analysis", January 2006.

#357 Matthew A. Bognar

"Bayesian Modeling of Continuously Marked Spatial Point Patterns", January 2006.

#356 Jun Yan

"Spatial Stochastic Volatility for Lattice Data", August 2005.

#355 Jun Yan

"Asymmetry, Fat-tail, and Autoregressive Conditional Density in Financial Return Data with Systems of Frequency Curves", August 2005.

#354 Ralph P. Russo and Nariankadu D. Shyamalkumar

"Asymptotic Behavior of Greedy Policies", August 2005.

#353 Nariankadu D. Shyamalkumar, Ralph P. Russo and Ramon Lawrence

"Optimal Policies to Obtain the Most Join Results", July 2005.

#352 Noelle I. Samia, Kung-Sik Chan and Nils Chr. Stenseth

"A Generalized Threshold Regression Model for Analyzing Non-Normal Nonlinear Time Series: Plague in Kazakhstan as an Illustration", July 2005.

#351 Joseph B. Lang

"Profile Confidence Intervals for Contingency Table Parameters", July 2005.

#350 Jian Huang, Shuangge Ma and Huiliang Xie

"Least Absolute Deviations Estimation for the Accelerated Failure Time Model", June 2005.

#349 Jian Huang, Shuangge Ma and Huiliang Xie

"Regularized Estimation in the Accelerated Failure Time Model with High Dimensional Covariates", June 2005.

#348 Shuangge Ma and Jian Huang

"Clustered Threshold Gradient Directed Regularization: with Applications to Survival Analysis Using Microarray Data", June 2005.

#347 Shuangge Ma and Jian Huang

"LASSO Method for Additive Risk Models with High Dimensional Covariates", June 2005.

#346 Shuangge Ma and Jian Huang

"Threshold Gradient Descent Regularization in the Additive Risk Model with High-Dimensional Covariates", June 2005.

#345 Shuangge Ma and Jian Huang

"Regularized ROC Estimation: With Applications to Disease Classification Using Microarray Data", June 2005.

#344 Kung-Sik Chan, Lop-Hing Ho and Howell Tong

"A Note on Time-Reversibility of Multivariate Linear Processes", March 2005.

#343 Henghsiu Tsai and K.S. Chan

"A Note on Non-Negative ARMA Processes", February 2005.

#342 Samuel Kuperman, Grace Chan, John R. Kramer, Laura Bierut, Kathleen K. Bucholz, Victor Hesselbrock, John I. Nurnberger, Jr., Theodore Reich, Wendy Reich and Marc A. Schuckit

"Relationship of Age of First Drink to Child Behavioral Problems and Family Psychopathology", February 2005.

#341 Kung-Sik Chan and Lop-Hing Ho

"On the Unique Representation of Non-Gaussian Multivariate Linear Processes", December 2004.

#340 Indranil Chakraborty and N.D. Shyamalkumar

"An Analysis of Large Multi-Unit Auctions with Bundling", December 2004.

#339 Dale L. Zimmerman

"Optimal Network Design for Spatial Prediction, Covariance Parameter Estimation, and Empirical Prediction", November 2004.

#338 John Kramer, Grace Chan, Linnea Polgreen, Samuel Kuperman, Kathleen Bucholz and Victor Hesselbrock

"Correlates of Drinking and Substance Use Among Offspring in Alcoholic Families: Adult Daughters and Sons", September 2004.

#337 Nelson Lu and Dale Zimmerman

"On Likelihood-Based Inference for a Separable Covariance Matrix", September 2004.

#336 Siyun Park, Kung-Sik Chan, Hildegunn Viljugrein, Larissa Nekrassova, Bakhtiyar Suleimenov, Vladimir S. Ageyev, Nikolay L. Klassovskiy, Sergey B. Pole and Nils Chr. Stenseth

"Modelling Immunity Against Infectious Plague Bacteria in Great Gerbils in Kazakhstan: A Continuous-Time Markov Chain Approach", September 2004.

#335 Henghsiu Tsai and K.S. Chan

"A Note on Non-Negative Continuous-Time Processes", August 2004.

#334 Mary Kathryn Cowles

"Evaluating Surrogate Endpoints for Clinical Trials: A Bayesian Approach", June 2004.

#333 Mary Kathryn Cowles

"Bayesian Estimation of the Proportion of Treatment Effect Captured by Longitudinal Surrogate Markers", June 2004.

#332 Mark D. Rothmann

"Estimating a Life Distribution by Sampling from the Obituaries and Related Problems", June 2004.

#331 Elizabeth Hansen, Kung-Sik Chan and Nils Chr. Stenseth

"Estimating a Smooth Common Transfer Function with a Panel of Time Series - Inflow of Larvae Cod as an Example", April 2004.

#330 Henghsiu Tsai and K.S. Chan

"Temporal Aggregation of Stationary and Nonstationary Discrete-Time Processes", March 2004.

#329 Henghsiu Tsai and K.S. Chan

"Temporal Aggregation of Stationary and Nonstationary Continuous-Time Processes", March 2004.

#328 K.S. Chan, Ming-Chung Li and H. Tong

"Partially Linear Reduced-Rank Regression", February 2004.

#327 O. Stramer and G.O. Roberts

"On Bayesian Analysis of Non-Linear Continuous-Time Autoregression Models", January 2004.

#326 Jian Huang, Deli Wang and Cun-Hui Zhang

"A Two-Way Semi-Linear Model for Normalization and Significant Analysis of cDNA Microarray Data", January 2004.

#325 Henghsiu Tsai and K.S. Chan

"Quasi-maximum likelihood estimation for a class of continuous-time long-memory processes", November 2003.

#324 Henghsiu Tsai and K.S. Chan

"Maximum likelihood estimation of a class of continuous-time long-memory processes", May 2005.

#323 M.J.B. Appel and R.P. Russo

"Almost sure convergence of the number of components in a geometric graph in the thermodynamic limit", October 2003.

#322 Jian Huang and Cun-Hui Zhang

"Asymptotic Analysis of a Two-Way Semiparametric Regression Model for Microarray Data", October 2003.

#321 Jian Huang, Hsun-Chih Kuo, Irina Koroleva, Cun-Hui Zhang and Marcelo Bento Soares

"A Semi-linear Model for Normalization and Analysis of cDNA Microarray Data", October 2003.

#320 John Geweke, Gautam Gowrisankaran and Robert Town

"Bayesian Inference for Hospital Quality in a Selection Model", February 2003. Appendices

#319 Matthew A. Bognar and Mary Kathryn Cowles

"Bayesian Inference for Pairwise Interacting Point Processes", December 2002.

#318 G.H. Zhao, K.L. Teo and K.S. Chan

"Estimation of Conditional Quantiles by a New Smoothing Approximation of Asymmetric Loss Functions", November 2002.

#317 Nelson Lu and Dale L. Zimmerman

"Testing for Directional Symmetry in Spatial Dependence Using the Periodogram", September 2002.

#316 Russell V. Lenth

"Using Simulations in Teaching Experimental Design", August 2002.

#315 C.A. Najim and R.P. Russo

"The Number of Subgraphs of a Specified Form Embedded in a Random Graph", June 2002.

#314 G.O. Roberts and O. Stramer

"Tempered Langevin Diffusions and Algorithms", March 2002.

#313 John M. Castelloe and Dale L. Zimmerman

"Convergence Assessment for Reversible Jump MCMC Samplers", February 2002.

#312 John M. Castelloe and Dale L. Zimmerman

"On Maximum Likelihood Estimation of a Spatial Poisson Cluster Process", February 2002.

#311 Henghsiu Tsai and K.S. Chan

"A Note on Parameter Differentiation of Matrix Exponentials, with Applications to Continuous-time Modeling", December 2001.

#310 Ming-Chung Li and K.S. Chan

"Multivariate Reduced-rank Nonlinear Time Series Modeling", November 2001.

#309 Ming-Chung Li and K.S. Chan

"Semiparametric Reduced-rank Regression", October 2001.

#308 Ralph Russo, Martin Appel and Christopher Najim

"Random Diameters", October 2001.

#307 Grace Chan

"Studying Population Dynamics Structure of Greenbottle Blowfly Using Generalized Additive Model", October 2001.

#306 Grace Chan and Andrew T.A. Wood

"Estimation of Fractal Dimension for a Class of Non-Gaussian Stationary Processes and Fields", August 2001.

#305 Grace Chan

"An Effective Method for Simulating Gaussian Random Fields", August 1999.

#304 Mary Kathryn Cowles, Dale L. Zimmerman, Aaron Christ, and David L. McGinnis

"Combining Snow Water Equivalent Data from Multiple Sources to Estimate Spatio-Temporal Trends and Compare Measurement Systems", April 2001.

#303 Russell V. Lenth

"Some Practical Guidelines for Effective Sample-Size Determination", March 2001.

#302 Kung-Sik Chan and Howell Tong

"A Note on the Equivalence of Two Approaches for Specifying a Markov Process", March 2001.

#301 Jian Huang

"Asymptotic Properties of Nonparametric Estimation Based on Partly Interval-Censored Data", December 2000. (appeared in Statistica Sinica, 9, 501-519)

#300 Jian Huang

"Efficient Estimation of the Partly Linear Additive Cox Model", December 2000. (appeared in Annals of Statistics, Vol. 27, 1536-1563)

#299 Joseph B. Lang and Thor Aspelund

"Binormal Association-Marginal Models for ROC Analysis based on Correlated Ordinal Rating Data", November 2000.

#298 Joseph B. Lang

"Maximum-Likelihood Analysis for Useful Classes of Multinomial-Poisson Homogeneous-Function Models", November 2000.

#297 Joseph B. Lang

"Multinomial-Poisson Homogeneous-Function Models for Categorical Data", November 2000.

#296 Grace Chan, Kung-Sik Chan, Nils Chr. Stenseth, and Ole Christian Lingjaerde

"Analyzing Experiments with Nonlinear Population Dynamics Data", October 2000.

#295 Henghsiu Tsai and K.S. Chan

"A Note on Testing for Nonlinearity with Partially Observed Time Series," July 2000.

#294 Dale L. Zimmerman and David Holland

"Complementary Co-Kriging: Optimal Spatial Prediction Using Data Combined from Several Environmental Monitoring Networks," July 2000.

#293 B.L.S. Prakasa Rao

"Nonparametric Inference for a Class of Stochastic Partial Differential Equations," April 2000.

#292 M.N. Mishra and B.L.S. Prakasa Rao

"Asymptotic Minimax Estimation in Nonlinear Stochastic Differential Equations from Discrete Observations," February 2000.

#291 M.N. Mishra and B.L.S. Prakasa Rao

"Approximation of Maximum Likelihood Estimator for Diffusion Processes from Discrete Observations," February 2000.

#290 Henghsiu Tsai and K.S. Chan

"Comparison of Two Discretization Methods for Estimating Continuous-Time Autoregressive Models," October 1999.

#289 Russell V. Lenth

"Bayesian Analysis of Location and Dispersion Effects in Unreplicated Experiments," July 1999.

#288 Mary Kathryn Cowles

"Bayesian Approaches to Estimating the Proportion of Treatment Effect Captured by a Surrogate Marker," April 1999.

#287 Mary Kathryn Cowles

"MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach," January 1999.

#286 Dale Zimmerman

"The PRISM: A Graphical Diagnostic for Correlation Structure in Longitudinal Data," June 1999.

#285 Henghsiu Tsai and K.S. Chan

"A New EM Method for Estimating Continuous-time Autoregressive Models," February 1999.

#284 Henghsiu Tsai and K.S. Chan

"Testing for Nonlinearity with Partially Observed Time Series," February 1999.

#283 Henghsiu Tsai and K.S. Chan

"A note on the covariance structure of a continuous-time ARMA process," February 1999.

#279 O. Stramer

"Polynomial convergence of diffusions," September 1998.

#277 G.O. Roberts and O. Stramer

"On inference for partially observed non-linear diffusion models using the Metropolis-Hastings algorithm," May 1998.

#276 O. Stramer

"The local linearization scheme for nonlinear diffusion models with discontinuous coefficients," May 1998.

#275 Martin J. Appel and Ralph P. Russo

"On the Connectivity of a Graph on Uniform Points on [0,1]d," May 2002.

#273 Jeff Isaacson and Dale Zimmerman

"Combining temporally correlated environmental data from multiple measurement systems," March 1998.

#272 K.S. Chan and Howell Tong

"A note on testing for multi-modality wiht dependent data," January 1998.

#271 Dale Zimmerman

"On the covariance structure of the sample semivariogram in one dimension," January 1998.

#270 Mark Rothmann and Ralph Russo

"Laws of large numbers for observations that change over time," December 1997.

#268 K.S. Chan, H. Tong and N.C. Stenseth

"Testing for common structures in a panel of threshold models," October 1997.

#267 Joseph B. Lang

"Bayesian ordinal and binary regression models with a parametric family of mixture links," August 1997.

#266 Richard Dykstra and Chris Carolan

"The Distribution of the Argmax of two-sided Brownian motion with quadratic drift," July 1997

#265 Hammou El Barmi and Richard Dykstra

"Maximum likelihood estimates via duality for log-convex models when cell probabilities are subject to convex constraints," June 1997.

#264 O. Stramer

"Time discretizing of diffusions and their asymptotic behavior," June 1997.

#263 Joseph B. Lang, John W. McDonald and Peter W.F. Smith

"Association-marginal modeling of multivariate polytomous responses: a maximum likelihood approach for large, sparse tables," June 1997.

#262 K.S. Chan

"Controlling chaos via minimal Markovian representations," May 1997.

#261 O. Stramer and R.L. Tweedie

"Self-targeting candidates for Hastings-Metropolis algorithms," May 1997.

#260 K.S. Chan and B. Munoz-Hernandez

"A generalized linear model for repeated ordered categorical response data," April 1997.

#259 Kazuo Anraku

"An information criterion for parameters under a simple order restriction," April 1997.

#258 Kung-Sik Chan, H. Tong and N.C. Stenseth

"Analyzing abundance data from periodically fluctuating rodent populations by threshold models - a nearest neighbor bootstrap approach," April 1997.

#257 O. Stramer and R. Tweedie

"Geometric and subgeometric convergence of diffusions with given stationary distributions, and their discretization," May 1998.

#256 R. Russo

"On the convergence of types within an active population"

#255 Mark Rothmann and Ralph Russo

"On the limiting proportion of types"

#254 K.S. Chan, Ruey S. Tsay

"Limiting properties of the least squares estimator of a continuous threshold autoregressive model," October 1996.

#253 Dale L. Zimmerman and Vicente Nunez-Anton

"Structured antedependence models for longitudinal data," September 1996.

#252 Joseph B. Lang

"An approximating class of binomial logit models useful for fitting the poisson regression model with offset," August 1996.

#250 Jian Huang and A.J. Rossini

"Sieve estimation for the proportional odds failure-time regression model with interval censoring," July 1996.