PhD Dissertation Defense | STAT

KAUST-CEMSE-STAT-PhD-Dissertation-Defense-Cristian-Jimenez-Varon

Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series

Cristian Felipe Jiménez Varón

Wednesday, May 22, 14:00

- 16:00

Building 4, Level 5, Room 5220; https://kaust.zoom.us/j/96174586182

PhD Dissertation Defense

Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data

Anass B. El-Yaagoubi

Thursday, May 02, 11:00

- 12:00

Building 1, Level 4, Room 4102

PhD Dissertation Defense

Models and Inference for Non-Gaussian Random Vectors and Fields

Sagnik Mondal

Sunday, November 12, 12:30

- 14:30

Building 5, Level 5, Room 5209

PhD Dissertation Defense

Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications

Andre Victor Ribeiro Amaral

Thursday, November 02, 11:45

- 14:30

B9, L4, R4225

PhD Dissertation Defense

Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment

Daniela Cisneros

Monday, September 11, 16:00

- 17:00

B3, L5, R5220

PhD Dissertation Defense

Approximate Bayesian inference based on dense matrices and new features using INLA

Sunday, June 04, 15:00

- 16:00

B4, L5, R5220

Bayesian computational statistics

PhD Dissertation Defense

Leave-Group-Out Cross-Validation for Latent Gaussian Models

Zhedong Liu

Tuesday, May 30, 15:30

- 17:30

B1, R4102;

PhD Dissertation Defense

Criticism and robustification of latent Gaussian models

Rafael Medeiros Cabral

Sunday, May 28, 15:00

- 16:00

B1, L4, R4102

latent Gaussian models

PhD Dissertation Defense

Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data

Matheus B. Guerrero

Tuesday, April 04, 16:00

- 19:00

B4, L5, R5220

PhD Dissertation Defense

Flexible Multivariate, Spatial, and Causal Models for Extremes

Yan Gong

Tuesday, March 28, 16:00

- 19:00

B4, L5, R5220

PhD Dissertation Defense

Bayesian Non-parametric Models for Time Series Decomposition

Guillermo C. Granados Garcia

Thursday, January 05, 17:00

- 19:00

Building 1, Room 4214

spectral density function

PhD Dissertation Defense

Multivariate Functional Data Analysis and Visualization

Zhuo Qu

Monday, November 07, 11:00

- 13:00

B3, L5, R5220

PhD Dissertation Defense

Flexible Extremal Dependence Models for Multivariate and Spatial Extremes

Zhongwei Zhang

Tuesday, October 25, 15:00

- 18:00

B5, L5, R5220

PhD Dissertation Defense

Better Methods and Theory for Federated Learning: Compression, Client Selection, and Heterogeneity

Samuel Horváth

Monday, June 27, 18:00

- 20:00

Building 5, Level 5, Room 5209

PhD Dissertation Defense

Joint Posterior Inference for Latent Gaussian Models and extended strategies using INLA

Cristian Chiuchiolo

Monday, June 06, 15:00

- 17:00

B3, L5, R5209

PhD Dissertation Defense

Bayesian Modeling of Sub-Asymptotic Spatial Extremes

Rishikesh Yadav

Tuesday, April 05, 15:00

- 17:00

B5, L5, R5220

PhD Dissertation Defense

Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes

Peng Zhong

Monday, April 04, 17:00

- 19:00

B3, L5, R5209

PhD Dissertation Defense

Coupled Sampling Methods for Filtering

Monday, March 07, 15:00

- 17:00

KAUST

PhD Dissertation Defense

Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields

Mary Lai O. Salvana

Monday, June 07, 17:00

- 19:00

KAUST

PhD Dissertation Defense

Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data

Soumya Das

Tuesday, June 01, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields

Ghulam A. Qadir

Monday, May 31, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Quantile Function Modeling and Analysis for Multivariate Functional Data

Gaurav Agarwal

Monday, November 09, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes

Yuxiao Li

Monday, November 02, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia

Wanfang Chen

Monday, October 26, 15:00

- 17:00

KAUST

PhD Dissertation Defense

Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes

Jian Cao

Monday, April 06, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Spatio-Temporal Data Analysis by Transformed Gaussian Processes

Yuan Yan, PhD Student of Prof. Marc Genton, KAUST

Monday, November 05, 17:15

- 18:15

Building 2, Level 5, Room 5220

PhD Dissertation Defense

Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking

Tuesday, June 13, 09:00

- 10:00

B1 L4 Room 4102

PhD Dissertation Defense

Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series

Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data

Models and Inference for Non-Gaussian Random Vectors and Fields

Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications

Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment

Approximate Bayesian inference based on dense matrices and new features using INLA

Leave-Group-Out Cross-Validation for Latent Gaussian Models

Criticism and robustification of latent Gaussian models

Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data

Flexible Multivariate, Spatial, and Causal Models for Extremes

Bayesian Non-parametric Models for Time Series Decomposition

Multivariate Functional Data Analysis and Visualization

Flexible Extremal Dependence Models for Multivariate and Spatial Extremes

Better Methods and Theory for Federated Learning: Compression, Client Selection, and Heterogeneity

Joint Posterior Inference for Latent Gaussian Models and extended strategies using INLA

Bayesian Modeling of Sub-Asymptotic Spatial Extremes

Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes

Coupled Sampling Methods for Filtering

Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields

Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data

Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields

Quantile Function Modeling and Analysis for Multivariate Functional Data

Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes

Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia

Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes

Spatio-Temporal Data Analysis by Transformed Gaussian Processes

Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking

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