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Continuous time arbitrage approached as a problem in constrained hedging

Continuous time arbitrage approached as a problem in constrained hedging

Demopolos, James Andre

Text (1999)

Part of Electronic Theses & Dissertations

Extended ensemble estimation : a tool for sensitivity analysis for researchers

Extended ensemble estimation : a tool for sensitivity analysis for researchers

Text (2022)

Part of Electronic Theses & Dissertations

Statistical methods for single cell gene expression : differential expression, curve estimation and graphical modelling

Statistical methods for single cell gene expression : differential expression, curve estimation and graphical modelling

Text (2022)

Part of Electronic Theses & Dissertations

CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES

CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES

Text (2023)

Part of Electronic Theses & Dissertations

Consistent Bayesian learning for neural network models : theory and computation

Consistent Bayesian learning for neural network models : theory and computation

Jantre, Sanket Rajendra

Text (2022)

Part of Electronic Theses & Dissertations

Using machine learning to uncover population heterogeneity in longitudinal study

Using machine learning to uncover population heterogeneity in longitudinal study

Text (2022)

Part of Electronic Theses & Dissertations

MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS

MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS

Mukherjee, Subrata

Text (2023)

Part of Electronic Theses & Dissertations

Novel methods for functional data analysis with applications to neuroimaging studies

Novel methods for functional data analysis with applications to neuroimaging studies

Niyogi, Pratim Guha

Text (2022)

Part of Electronic Theses & Dissertations

Machine learning towards data with complex structures

Machine learning towards data with complex structures

Text (2022)

Part of Electronic Theses & Dissertations

Bayesian uncertainty quantification of computer models with efficient calibration and computation

Bayesian uncertainty quantification of computer models with efficient calibration and computation

Kejzlar, Vojtech

Text (2020)

Part of Electronic Theses & Dissertations

Inter-rater agreement in autism spectrum disorder for anxiety, depression, and broad internalizing symptoms : a meta-analysis

Inter-rater agreement in autism spectrum disorder for anxiety, depression, and broad internalizing symptoms : a meta-analysis

Youngdahl, Janelle

Text (2020)

Part of Electronic Theses & Dissertations

Introducing sparsity into selection index methodology with applications to high-throughput phenotyping and genomic prediction

Introducing sparsity into selection index methodology with applications to high-throughput phenotyping and genomic prediction

Lopez Cruz, Marco Antonio

Text (2020)

Part of Electronic Theses & Dissertations

Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology

Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology

Text (2020)

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

Quantifying the bias of standard error estimates due to omitted cluster levels in complex multilevel data : a sensitivity analysis for empirical researchers

Text (2020)

Part of Electronic Theses & Dissertations

Bootstrap based hypothesis testing for high-dimensional data

Bootstrap based hypothesis testing for high-dimensional data

Chakraborty, Nilanjan

Text (2022)

Part of Electronic Theses & Dissertations

Exploring low-rank prior in high-dimensional data

Exploring low-rank prior in high-dimensional data

Text (2023)

Part of Electronic Theses & Dissertations

MEDIATION ANALYSIS FOR CASE-CONTROL STUDIES WITH SECONDARY AND TERTIARY OUTCOMES

MEDIATION ANALYSIS FOR CASE-CONTROL STUDIES WITH SECONDARY AND TERTIARY OUTCOMES

Text (2023)

Part of Electronic Theses & Dissertations

Advancing the Science of Invasive Sea Lamprey Integrated Pest Management Using Population Dynamics Modeling and Decision Analysis

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

Development and application of hierarchical models for monitoring avian soundscapes, populations, and communities

Development and application of hierarchical models for monitoring avian soundscapes, populations, and communities

Doser, Jeffrey W.

Text (2022)

Part of Electronic Theses & Dissertations

Variational bayes deep neural network : theory, methods and applications

Variational bayes deep neural network : theory, methods and applications

Text (2021)

Part of Electronic Theses & Dissertations