##### Haziq Jamil

###### Assistant Professor in Statistics

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

### Related

- Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
- Binary and Multinomial Regression using Fisher Information Covariance Kernels (I-priors)
- Binary probit regression with I-priors
- Regression Modelling using I-Priors
- Two-stage Bayesian variable selection for linear models using I-priors

## Publications

### Regression modelling with I-priors: Applications to functional, multilevel and longitudinal data

We introduce a methodology with the aim of providing a unifying framework for esti- mating a variety of regression methods and models, …

### 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 …

### 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 …

## Talks

### 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

### 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

### 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, London, United Kingdom

### 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

### 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

### 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