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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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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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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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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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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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Handbook of Discrete-Valued Time Series

1, 2016

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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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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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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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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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Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure

Journal of survey statistics and methodology, 2024-09, Vol.12 (4), p.1061-1080

2024

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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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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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Bayesian Multisource Hierarchical Models with Applications to the Monthly Retail Trade Survey

Journal of survey statistics and methodology, 2024-04

2024

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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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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

Count Time Series: A Methodological Review

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

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

Economic Time Series: Modeling and Seasonality

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

Handbook of Discrete-Valued Time Series

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)

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

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

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

Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure

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

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

Bayesian Multisource Hierarchical Models with Applications to the Monthly Retail Trade Survey

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

Time series clustering and classification via frequency domain methods

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

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