My talk at the Institute of Evolutionary Biology Postgraduate Symposium 2017
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Updated
Apr 25, 2017 - TeX
My talk at the Institute of Evolutionary Biology Postgraduate Symposium 2017
spectral timing for irregularly sampled data
Mathematics Developers Survey (a Bayesian approach)
Edinburgh Informatics course notes
Interaction-Partitioned Topic Models (IPTM) using a Point Process Approach
Appunti del corso di Intelligenza artificiale (a.a. 2017/2018) - università degli studi di Padova
[done] phd thesis @ oxford stats
My MSc thesis: Molecular movies and geometry reconstruction using Coulomb explosion imaging. EDIT: Perfect 2^8 = 256 commits means I should never commit to this repo again.
A quick start guide to SMC for static Bayesian modelling
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
MCMC Algorithms for Bayesian inference in the context of Big Data
Alcuni dei miei progetti universitari.
Project proposal for Master's thesis on Bayesian inference in continual learning
Constraining the stellar evolution history of TRAPPIST-1 using MCMC and machine learning with approxposterior
This report describes a model for understanding and forecasting loan deferment rates due to labor market shocks using a Bayesian mixed-models approach.
A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)
This report describes a model for understanding and forecasting loan deferment rates due to labor market shocks using a Bayesian mixed-models approach.
PhD Thesis
Assignment 5, Data Analysis and Interpretation, Autumn 2020, IIT Bombay
Personal notes for bayesian data analysis course (University of Edinburgh 2017-1)
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