Statistics and Actuarial Science Theses

Displaying 1 - 50 of 284
Dimension reduction methods with application in automobile insurance
2023-01-26
NHL aging curves using Functional Principal Component Analysis
2022-12-19
A complete framework for modelling defined benefit pension plans
2022-12-01
Valuation of NHL Draft Picks using Functional Data Analysis
2022-11-28
Soccer analytics
2022-11-15
Novel approaches to uncertainty quantification in nonparametric settings
2022-09-23
Modeling the multi-peak structure of the solar cycle
2022-08-29
On the calculation of risk measures for variable annuities with guaranteed benefits
2022-08-26
Efficient learning algorithms for classification of data by a nonlinear decision boundary
2022-08-24
Emulation and calibration of computer models with unknown constraints
2022-08-18
Effect of stochastic model error on the convergence and accuracy of Markov chains
2022-07-28
Fast deep gaussian process modeling and design for large complex computer experiments
2022-04-29
Towards efficient population-level genome-wide association studies
2022-04-29
Selection between variance-optimal and bias-optimal designs when some two-factor interactions are important
2022-04-25
PDE-based Bayesian hierarchical modeling for event spread, with application to COVID-19 infection
2022-04-20
Bayesian approaches for critical velocity models
2021-11-17
A particle Markov chain Monte Carlo approach for the estimation of CBD-type models
2021-10-14
Simulation and statistical methods for family-based sequencing studies
2021-09-13
Sequence clustering for genetic mapping of binary traits
2021-08-24
Covariance-adjusted, sparse, reduced-rank regression with adjustment for confounders
2021-08-18
Exploring out of distribution: Deep neural networks and the human brain
2021-08-17
Q-learning with online trees
2021-08-13
Numerical approximation algorithms for pension funding
2021-08-04
Applications of reserving methods for property and casualty insurance in modeling of mortality rates
2021-07-22
The analysis of serve decisions in tennis using Bayesian hierarchical models
2021-07-07
Factorial designs under baseline parameterization and space-filling designs with applications to big data
2021-06-18
On the Bayesian estimation of jump-diffusion models in finance
2021-05-19
Autoregressive mixed effects models and an application to annual income of cancer survivors
2021-04-26
Post-selection inference
2021-04-21
An efficient approach to pruning regression trees using a modified Bayesian information criterion
2021-04-14
Efficient Bayesian parameter inference for COVID-19 transmission models
2020-12-17
Systematic comparison of designs and emulators for computer experiments using a library of test functions
2020-12-16
Contextual batting and bowling in limited overs cricket
2020-11-25
A flexible group benefits framework for pricing deposit rates
2020-11-16
Bayesian logistic regression with the local bouncy particle sampler for COVID-19
2020-08-24
Statistical methods for tracking data in sports
2020-08-21
Modeling human decision-making in spatial and temporal systems
2020-08-20
Statistical analysis of event times with missing origins aided by auxiliary information, with application to wildfire management
2020-08-20
Quarterback evaluation in the National Football League
2020-08-20
Curating and combining big data from genetic studies
2020-08-19
New perspectives on non-negative matrix factorization for grouped topic models
2020-08-18
Supervised basis functions applied to functional regression and classification
2020-07-29
Understanding jump dynamics using liquidity measures
2020-07-15
Understanding and estimating predictive performance of statistical learning methods based on data properties
2020-07-14
Statistical machine learning in computational genetics
2020-07-03
Some new methods and models in functional data analysis
2020-06-19
A bivariate longitudinal model for psychometric data
2020-04-30
Statistical analysis of data from opioid use disorder study
2020-04-24
Approximate marginal likelihoods for shrinkage parameter estimation in penalized logistic regression analysis of case-control data
2020-04-17
Incorporating statistical clustering methods into mortality models to improve forecasting performances
2020-04-09