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Predicting Profile Soil Properties with Reflectance Spectra via Bayesian Covariate-Assisted External Parameter Orthogonalization

Sensors (Basel, Switzerland), 2018-11, Vol.18 (11), p.3869

2018

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Computationally Efficient Poisson Time-Varying Autoregressive Models through Bayesian Lattice Filters

Stats (Basel, Switzerland), 2023-10, Vol.6 (4), p.1037-1052

2023

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Analysis of Household Pulse Survey Public-Use Microdata via Unit-Level Models for Informative Sampling

Stats (Basel, Switzerland), 2022-03, Vol.5 (1), p.139-153

2022

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Automated wavelet denoising of photoacoustic signals for circulating melanoma cell detection and burn image reconstruction

Physics in medicine & biology, 2008-06, Vol.53 (12), p.N227-N236

2008

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Count Time Series: A Methodological Review

Journal of the American Statistical Association, 2021-05, Vol.116 (535), p.1533-1547

2021

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Handbook of Discrete-Valued Time Series

1, 2016

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Economic Time Series: Modeling and Seasonality

1, 2012

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A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES

Biometrics, 2023-06, Vol.79 (2), p.1397-1408

2023

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Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family

Journal of the American Statistical Association, 2020-12, Vol.115 (532), p.2037-2052

2020

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A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics

The American statistician, 2023-07, Vol.77 (3), p.313-322

2023

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Computationally efficient Bayesian unit-level random neural network modelling of survey data under informative sampling for small area estimation

Journal of the Royal Statistical Society. Series A, Statistics in society, 2023-12, Vol.186 (4), p.722-737

2023

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Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.84-96

2023

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Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion)

Bayesian analysis, 2018-03, Vol.13 (1)

2018

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Foreword for the mini issue in honour of Prof C. R. Rao

International statistical review, 2021-08, Vol.89 (2), p.215-215

2021

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Bayesian Hierarchical Multi-Population Multistate Jolly-Seber Models With Covariates: Application to the Pallid Sturgeon Population Assessment Program

Journal of the American Statistical Association, 2017-06, Vol.112 (518), p.471-483

2017

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Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.472-487

2016

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MULTIVARIATE SPATIO-TEMPORAL MODELS FOR HIGH-DIMENSIONAL AREAL DATA WITH APPLICATION TO LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS

The annals of applied statistics, 2015-12, Vol.9 (4), p.1761-1791

2015

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Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-06, Vol.79 (3), p.815-832

2017

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Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing

Journal of the Royal Statistical Society. Series A, Statistics in society, 2018-06, Vol.181 (3), p.649-661

2018

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A Comprehensive Overview of Unit-Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling

Journal of survey statistics and methodology, 2023-09, Vol.11 (4), p.829-857

2023

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Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling

Journal of survey statistics and methodology, 2023-09, Vol.11 (4), p.858-872

2023

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Time series clustering and classification via frequency domain methods

Wiley interdisciplinary reviews. Computational statistics, 2018-11, Vol.10 (6), p.e1444-n/a

2018

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A general Bayesian model for heteroskedastic data with fully conjugate full-conditional distributions

Journal of statistical computation and simulation, 2021-10, Vol.91 (15), p.3207-3227

2021

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Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution

Journal of time series analysis, 2019-05, Vol.40 (3), p.363-382

2019

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Nonlinear time series classification using bispectrum‐based deep convolutional neural networks

Applied stochastic models in business and industry, 2020-09, Vol.36 (5), p.877-890

2020

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Predicting Profile Soil Properties with Reflectance Spectra via Bayesian Covariate-Assisted External Parameter Orthogonalization

Computationally Efficient Poisson Time-Varying Autoregressive Models through Bayesian Lattice Filters

Analysis of Household Pulse Survey Public-Use Microdata via Unit-Level Models for Informative Sampling

Automated wavelet denoising of photoacoustic signals for circulating melanoma cell detection and burn image reconstruction

Count Time Series: A Methodological Review

Handbook of Discrete-Valued Time Series

Economic Time Series: Modeling and Seasonality

A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES

Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family

A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics

Computationally efficient Bayesian unit-level random neural network modelling of survey data under informative sampling for small area estimation

Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data

Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion)

Foreword for the mini issue in honour of Prof C. R. Rao

Bayesian Hierarchical Multi-Population Multistate Jolly-Seber Models With Covariates: Application to the Pallid Sturgeon Population Assessment Program

Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey

MULTIVARIATE SPATIO-TEMPORAL MODELS FOR HIGH-DIMENSIONAL AREAL DATA WITH APPLICATION TO LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS

Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error

Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing

A Comprehensive Overview of Unit-Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling

Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling

Time series clustering and classification via frequency domain methods

A general Bayesian model for heteroskedastic data with fully conjugate full-conditional distributions

Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution

Nonlinear time series classification using bispectrum‐based deep convolutional neural networks

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