My PhD Project

Last updated on 23 Oct 2024
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I-prior
Haziq Jamil
Haziq Jamil
Assistant Professor in Statistics

My research interests include statistical theory, methods and computation, with applications towards the social sciences.

Publications

Bayesian Variable Selection for Linear Models Using I-Priors
The Bayesian approach to modelling differs from the frequentist approach primarily in the supplementation of additional information …
Haziq Jamil, Wicher Bergsma
Cite Project DOI
Bayesian Variable Selection for Linear Models Using I-Priors
Regression modelling with I-priors: With applications to functional, multilevel and longitudinal data
We introduce the I-prior methodology as a unifying framework for estimating a variety of regression models, including varying …
Wicher Bergsma, Haziq Jamil
Preprint Cite Project
iprior: An R Package for Regression Modelling using I-priors
This is an overview of the R package iprior, which implements a unified methodology for fitting parametric and nonparametric regression …
Haziq Jamil, Wicher Bergsma
Preprint Cite Project
Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Regression analysis is undoubtedly an important tool to understand the relationship between one or more explanatory and independent …

Haziq Jamil
PDF Cite Code Project Slides Source Document Err. Ch. 1 Ch. 2 Ch. 3 Ch. 4 Ch. 5 Ch. 6 Ch. 7 Apx. Supl.
Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Events

Selecting interaction effects in additive models using I-priors
Additive models with interactions have been considered extensively in the literature, using estimation methods such as splines or …
15 Jul 2022 9:15 AM — 10:15 AM University of Bologna, Italy
Wicher Bergsma, Haziq Jamil
Project
Binary and Multinomial Regression using Fisher Information Covariance Kernels (I-priors)
In a regression setting, we define an I-prior as a Gaussian process prior on the regression function with covariance kernel equal to …
27 Mar 2018 12:30 PM — 2:00 PM LSE, London, United Kingdom
Haziq Jamil
PDF Code Project
Binary and Multinomial Regression using Fisher Information Covariance Kernels (I-priors)
Regression Modelling with I-Priors
This is an overview of a unified methodology for fitting parametric and nonparametric regression models, including additive models, …
18 Jul 2017 1:30 PM — 3:00 PM University of Zürich, Switzerland
Wicher Bergsma, Haziq Jamil
Project
Binary probit regression with I-priors
An extension of the I-prior methodology to binary response data is explored. Starting from a latent variable approach, it is assumed …
8 May 2017 12:00 PM — 12:35 PM LSE
Haziq Jamil
Code Project Slides
Binary probit regression with I-priors
I-priors in Bayesian Variable Selection: From Reproducing Kernel Hilbert Spaces to Hamiltonian Monte Carlo
I-priors are a class of objective priors for regression functions which makes use of its Fisher information in a function space …
3 Nov 2016 12:30 PM — 2:00 PM LSE, London, United Kingdom
Haziq Jamil
Code Project Slides
Two-stage Bayesian variable selection for linear models using I-priors
In a previous work, I showed that the use of I-priors in various linear models can be considered as a solution to the over-fitting …
18 Nov 2015 12:30 PM — 2:00 PM LSE, London, United Kingdom
Haziq Jamil
Project Slides
Two-stage Bayesian variable selection for linear models using I-priors
Regression Modelling using I-Priors
The I-prior methodology is a new modelling technique which aims to improve on maximum likelihood estimation of linear models when the …
19 May 2015 12:00 PM — 12:35 PM LSE, London, United Kingdom
Haziq Jamil
Project Slides
Regression Modelling using I-Priors