Daniel R. Kowal

发表

A Bayesian Multivariate Functional Dynamic Linear Model

David S. Matteson, Daniel R. Kowal, David Ruppert, 2014, 1411.0764.

David S. Matteson, Daniel R. Kowal, David Ruppert, 2017, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Fast and Optimal Bayesian Approximations for Targeted Prediction

Daniel R. Kowal, 2020, 2006.13107.

Stochastic clustering and pattern matching for real-time geosteering

Marina Vannucci, Faming Liang, Daniel R. Kowal, 2019 .

Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis

Daniel R. Kowal, 2020, Journal of the American Statistical Association.

Integer‐valued functional data analysis for measles forecasting

Daniel R. Kowal, 2019, Biometrics.

Bayesian Function-on-Scalars Regression for High-Dimensional Data

Daniel R. Kowal, Daniel C. Bourgeois, Daniel C. Bourgeois, 2018, Journal of Computational and Graphical Statistics.

Simultaneous transformation and rounding (STAR) models for integer-valued data

Daniel R. Kowal, Antonio Canale, A. Canale, 2019, Electronic Journal of Statistics.

Nonlinear state-space modeling approaches to real-time autonomous geosteering

Marina Vannucci, Daniel R. Kowal, Jeremy Vila, 2020, Journal of Petroleum Science and Engineering.

Functional Autoregression for Sparsely Sampled Data

David S. Matteson, Daniel R. Kowal, David Ruppert, 2016, 1603.02982.

Conjugate priors for count and rounded data regression

Daniel R. Kowal, 2021 .

Semiparametric Functional Factor Models with Bayesian Rank Selection

Daniel R. Kowal, Antonio Canale, 2021 .

Bayesian subset selection and variable importance for interpretable prediction and classification pdf

Daniel R. Kowal, 2021, ArXiv.

Subset selection for linear mixed models

Daniel R. Kowal, 2021 .

Warped Dynamic Linear Models for Time Series of Counts

Daniel R. Kowal, Brian King, 2021 .

Gaussian Processes for Functional Autoregression

Daniel R. Kowal, D. Ruppert, D. Matteson, 2016 .

A Simultaneous Transformation and Rounding Approach for Modeling Integer-Valued Data

Daniel R. Kowal, A. Canale, 2019 .

A Modified Ljung-Box Test for the Functional Linear Model

Daniel R. Kowal, 2016 .

Dynamic Function-on-Scalars Regression

Daniel R. Kowal, 2018, 1806.01460.

Semiparametric Functional Factor Models with Bayesian Rank Selection

Daniel R. Kowal, A. Canale, 2021, 2108.02151.

Racial residential segregation shapes the relationship between early childhood lead exposure and fourth-grade standardized test scores

Daniel R. Kowal, K. Ensor, M. Miranda, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Conjugate priors for count and rounded data regression

Daniel R. Kowal, 2021 .

Supplement to “A Bayesian Multivariate Functional Dynamic Linear Model”

Daniel R. Kowal, D. Matteson, D. Ruppert, 2015 .

Bayesian adaptive and interpretable functional regression for exposure profiles

Daniel R. Kowal, Yunan Gao, 2022, 2203.00784.

Semiparametric discrete data regression with Monte Carlo inference and prediction

Daniel R. Kowal, Bo-Hong Wu, 2021, 2110.12316.

Dynamic and robust Bayesian graphical models

Daniel R. Kowal, M. Vannucci, Chunshan Liu, 2022, Statistics and Computing.

Bayesian variable selection for understanding mixtures in environmental exposures

Daniel R. Kowal, K. Ensor, R. Griffin, 2021, Statistics in medicine.

Probing the Biophysical Properties of Primary Breast Tumor-Derived Fibroblasts

Daniel R. Kowal, Shawn P. Carey, C. Reinhart-King, 2015, Cellular and molecular bioengineering.

Probing the Biophysical Properties of Primary Breast Tumor-Derived Fibroblasts

Daniel R. Kowal, Shawn P. Carey, C. Reinhart-King, 2014, Cellular and Molecular Bioengineering.

Subset selection for linear mixed models

Daniel R. Kowal, 2021, Biometrics.

Warped Dynamic Linear Models for Time Series of Counts

Daniel R. Kowal, Brian King, 2021, Bayesian Analysis.

Mechanical heterogeneities in the subendothelial matrix develop with age and decrease with exercise.

Daniel R. Kowal, C. Reinhart-King, M. King, 2016, Journal of biomechanics.

Semiparametric count data regression for self‐reported mental health

Daniel R. Kowal, Bohan Wu, Daniel R Kowal, 2021, Biometrics.

Dynamic Regression Models for Time-Ordered Functional Data

Daniel R. Kowal, 2020 .

Sex‐dependent correlates of arterial stiffness in Tanzanian adults

Daniel R. Kowal, R. Rosengard, R. Peck, 2021, Tropical medicine & international health : TM & IH.

Nonparametric Copula Models for Multivariate, Mixed, and Missing Data

Daniel R. Kowal, J. Feldman, 2022, 2210.14988.

Nonparametric Copula Models for Mixed Data with Informative Missingness

Daniel R. Kowal, J. Feldman, Daniel R. Kowal, 2022 .

Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data

Daniel R. Kowal, Daniel Kowal, Joseph Feldman, 2021, The Annals of Applied Statistics.

Ultra-efficient MCMC for Bayesian longitudinal functional data analysis

Daniel R. Kowal, T. Sun, 2023, 2306.07168.

Mechanical heterogeneities in the subendothelial matrix develop with age and decrease with exercise.

Daniel R. Kowal, C. Reinhart-King, M. King, 2016, Journal of biomechanics.

Semiparametric discrete data regression with Monte Carlo inference and prediction

Daniel R. Kowal, Bo-Hong Wu, 2021, 2110.12316.

Monte Carlo inference for semiparametric Bayesian regression

Daniel R. Kowal, Bo-Hong Wu, 2023, 2306.05498.

Bayesian subset selection and variable importance for interpretable prediction and classification

Daniel R. Kowal, 2021, J. Mach. Learn. Res..

Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis

Daniel R. Kowal, 2020, Journal of the American Statistical Association.

Bayesian Functional Graphical Models with Change-Point Detection

Daniel R. Kowal, Marina Vannucci, Chunshan Liu, 2024, 2405.03041.

Regression with race-modifiers: towards equity and interpretability

Daniel R. Kowal, 2024, medRxiv.