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Electronic Theses & Dissertations
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CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES
Son, Mookyong
Text (2023)
Part of
Electronic Theses & Dissertations
NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION
Premchandar, Sumegha
Text (2024)
Part of
Electronic Theses & Dissertations
Algebraic Combinatorics on Partially Ordered Sets and Graphs
Kimble, Jamie
Text (2025)
Part of
Electronic Theses & Dissertations
How to Decompose the Between and Within Effects in Contextual Models
Guo, Siwen
Text (2019)
Part of
Electronic Theses & Dissertations
Exploring low-rank prior in high-dimensional data
Lyu, He
Text (2023)
Part of
Electronic Theses & Dissertations
Tests of homogeneity in two-component mixture models
Hsu, Wei-wen
Text (2011)
Part of
Electronic Theses & Dissertations
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
Text (2022)
Part of
Electronic Theses & Dissertations
Advancing the Science of Invasive Sea Lamprey Integrated Pest Management Using Population Dynamics Modeling and Decision Analysis
Lewandoski, Sean Alois
Text (2023)
Part of
Electronic Theses & Dissertations
Three essays on panel data models with interactive and unobserved effects
Brown, Nicholas Lynn
Text (2022)
Part of
Electronic Theses & Dissertations
Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology
Wang, Han
Text (2020)
Part of
Electronic Theses & Dissertations
Areal data reaggregation : a comparison of two methods
Rylander, Gustave William
Text (1986)
Part of
Electronic Theses & Dissertations
Quantifying the bias of standard error estimates due to omitted cluster levels in complex multilevel data : a sensitivity analysis for empirical researchers
Chen, Zixi
Text (2020)
Part of
Electronic Theses & Dissertations
Bayesian uncertainty quantification of computer models with efficient calibration and computation
Kejzlar, Vojtech
Text (2020)
Part of
Electronic Theses & Dissertations
On permutation patterns, pinnacle sets, and backbones of bipartite projections
Domagalski, Rachel
Text (2021)
Part of
Electronic Theses & Dissertations
PARAMETER ESTIMATION FOR GAUSSIAN RANDOM FIELDS AND MULTIVARIATE GAUSSIAN RANDOM PROCESSES UNDER FIXED-DOMAIN ASYMPTOTICS
Feng, Haoxiang
Text (2024)
Part of
Electronic Theses & Dissertations
Data integration in population and community ecology using hierarchical modeling
Farr, Matthew T.
Text (2021)
Part of
Electronic Theses & Dissertations
A Neural Networks Based Method With Genetic Data Analysis of Complex Diseases
Lin, Jinghang
Text (2021)
Part of
Electronic Theses & Dissertations
OPTIMAL SAMPLING STRATEGIES USING CASE-CONTROL STUDIES FOR BINARY SECONDARY OUTCOMES UNDER BUDGET CONSTRAINTS
Wang, Liang
Text (2024)
Part of
Electronic Theses & Dissertations
THREE RESEARCH TOPICS IN EDUCATION : (1) ASSOCIATIONS BETWEEN APPROACHES TO LEARNING AND ACADEMIC ACHIEVEMENT; (2) A META- ANALYTIC REVIEW ON APPROACHES TO LEARNING AND ACADEMIC ACHIEVEMENT; (3) POWER ANALYSIS IN META-ANALYSIS: A THREE-LEVEL MODEL
Zhang, Bixi
Text (2021)
Part of
Electronic Theses & Dissertations
Statistical methods for single cell gene expression : differential expression, curve estimation and graphical modelling
Saha, Satabdi
Text (2022)
Part of
Electronic Theses & Dissertations
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