Sujit Ghosh

Robust and Accurate Inference via a Mixture of Gaussian and Student's t Errors

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 28(2), 415–426.

Saying Sayonara to the Farm: Hierarchical Bayesian Modeling of Farm Exits in Japan

JOURNAL OF AGRICULTURAL ECONOMICS, 70(2), 372–391.

How proper are Bayesian models in the astronomical literature?

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 481(1), 277–285.

Predicting Exoplanet Masses and Radii: A Nonparametric Approach

ASTROPHYSICAL JOURNAL, 869(1).

A Comparative study of the dose-response analysis with application to the target dose estimation

Journal of Statistical Theory and Practice, 11(1), 145–162.

Fast Hamiltonian Monte Carlo using GPU computing

Journal of Computational and Graphical Statistics, 25(2), 536–548.

A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis

Journal of the Royal Statistical Society. Series C, Applied Statistics, 65(3), 395–414.

On the degrees of freedom in MCMC-based Wishart models for time series data

Statistics & Probability Letters, 98, 59–64.

Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data

Journal of the Korean Statistical Society, 43(3), 339–353.

Unimodal density estimation using Bernstein polynomials

Computational Statistics & Data Analysis, 72, 13–29.

A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix

Statistical Modelling, 14(1), 1–20.

Bayesian average error-based approach to sample size calculations for hypothesis testing

Journal of Biopharmaceutical Statistics, 23(3), 569–588.

Bayesian unit-root testing in stochastic volatility models with correlated errors

Hacettepe Journal of Mathematics and Statistics, 42(6), 659–669.

Imputation in high-dimensional economic data as applied to the agricultural resource management survey

Journal of the American Statistical Association, 108(501), 81–95.

A semiparametric approach to source separation using independent component analysis

Computational Statistics & Data Analysis, 58, 383–396.

Modelling semi-continuous data using mixture regression models with an application to cattle production yields

Journal of Agricultural Science, 150, 109–121.

Nonparametric regression models for right-censored data using Bernstein polynomials

Computational Statistics & Data Analysis, 56(3), 559–573.

Shape restricted nonparametric regression with Bernstein polynomials

Computational Statistics & Data Analysis, 56(9), 2729–2741.

Empirical analysis of climate change impact on loblolly pine plantations in the Southern United States

Natural Resource Modeling, 24(4), 445–476.

Modeling yield risk under technological change: Dynamic yield distributions and the US crop insurance program

Journal of Agricultural and Resource Economics, 36(1), 192–210.

Nonparametric estimation of the conditional mean residual life function with censored data

Lifetime Data Analysis, 17(4), 514–532.

Semiparametric Bayesian testing procedure for noninferiority trials with binary endpoints

Journal of Biopharmaceutical Statistics, 21(5), 920–937.

Smooth density estimation with moment constraints using mixture distributions

Journal of Nonparametric Statistics, 23(2), 513–531.

A flexible class of models for data arising from a 'thorough QT/QTc study'

Pharmaceutical Statistics, 10(2), 122–127.

A variable selection approach to monotonic regression with Bernstein polynomials

Journal of Applied Statistics, 38(5), 961–976.

Maximum likelihood estimation for directional conditionally autoregressive models

Journal of Statistical Planning and Inference, 140(11), 3160–3179.

Spatio-temporal analysis of total nitrate concentrations using dynamic statistical models

Journal of the American Statistical Association, 105(490), 538–551.

joint variable selection for fixed and random effects in linear mixed-effects models

Biometrics, 66(4), 1069–1077.

Bayesian inference for directional conditionally autoregressive models

Bayesian Analysis, 4(4), 675–705.

Bayesian variable selection using an adaptive powered correlation prior

Journal of Statistical Planning and Inference, 139(8), 2665–2674.

Daily activity patterns of university students

Journal of Urban Planning and Development, 135(4), 141–149.

Estimation of SCRAM rate trends in nuclear power plants using hierarchical Bayes models

Communications in Statistics. Theory and Methods, 38(16-17), 2856–2871.

Hydrogen bonding and packing density are factors most strongly connected to limiting sites of high flexibility in the 16S rRNA in the 30S ribosome

BMC Structural Biology, 9.

Nonparametric autocovariance estimation from censored time series by Gaussian imputation

Journal of Nonparametric Statistics, 21(2), 241–259.

Performance of information criteria for spatial models

Journal of Statistical Computation and Simulation, 79(1), 93–106.

Public investment and industry incentives in life-science research

American Journal of Agricultural Economics, 91(2), 431–443.

An autoregressive point source model for spatial processes

Environmetrics, 20(5), 575–594.

A stochastic neighborhood conditional autoregressive model for spatial data

Computational Statistics & Data Analysis, 53(8), 3033–3046.

Bayesian spatial modeling of data from unit-count surveys of fish in streams

Transactions of the American Fisheries Society, 137(2), 438–453.

Impact of source reduction on the spatial distribution of larvae and pupae of Aedes albopictus (Diptera : Culicidae) in suburban neighborhoods of a Piedmont community in North Carolina

Journal of Medical Entomology, 45(4), 617–628.

Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations

Water Resources Research, 44(9).

Spatio-temporal modeling of agricultural yield data with an application to pricing crop insurance contracts

American Journal of Agricultural Economics, 90(4), 951–961.

A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

Journal of Multivariate Analysis, 99(8), 1681–1697.

Censored time series analysis with autoregressive moving average models

Canadian Journal of Statistics, 35(1), 151–168.

Data-reduction method for spatial data using a structured wavelet model

International Journal of Production Research, 45(10), 2295–2311.

Bayesian analysis of zero-inflated regression models

Journal of Statistical Planning and Inference, 136(4), 1360–1375.

Major gene detection for fusiform rust resistance using Bayesian complex segregation analysis in loblolly pine

Theoretical and Applied Genetics, 113(5), 921–929.

Spatial analysis of Aedes albopictus (Diptera : Culicidae) oviposition in suburban neighborhoods of a piedmont community in North Carolina

Journal of Medical Entomology, 43(5), 976–989.

Spatial association between speciated fine particles and mortality

Biometrics, 62(3), 855–863.

Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects

Journal of Agricultural, Biological, and Environmental Statistics, 10(1), 35–49.

Internucleotide movements during formation of 16 S rRNA-rRNA photocrosslinks and their connection to the 30 S subunit conformational dynamics

Journal of Molecular Biology, 354(2), 358–374.

Interval estimation of genetic susceptibility for retrospective case-control studies

BMC Genetics, 5(9).

A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating

Genetical Research, 83(2), 143–154.

Affinity maturation of the humoral immune response: A Bayesian approach

Journal of Agricultural, Biological, and Environmental Statistics, 8(3), 367–382.

Testing for proportionality of multivariate dispersion structures using interdirections

Journal of Nonparametric Statistics, 13(3), 331–349.

Proportional hazards models: a latent competing risk approach

Journal of the Royal Statistical Society. Series C, Applied Statistics, 49(2000), 385–397.

Bayesian analysis and model selection for interval-censored survival data

Biometrics, 55(2), 585–590.

Analyzing real estate data problems using the Gibbs sampler

Real Estate Economics, 26(3), 469–492.

Latent waiting time models for bivariate event times with censoring

Sankhya. Series B, 60(1998), 31–47.

Model choice: A minimum posterior predictive loss approach

Biometrika, 85(1), 1–11.

Spatio-temporal modeling of residential sales data

Journal of Business & Economic Statistics, 16(3), 312–321.

Measuring the effect of observations using the posterior and intrinsic bayes factors with vague prior information

Sankhya. Series A, 59(1997), 376–391.