luisdamiano Goto Github PK

anl22

Seminar at Argonne National Laboratory (December 2022)

bayeshmm

Full Bayesian Inference for Hidden Markov Models

bibfiles

Bibliography files

casarn21

Poster for the Conference on Applied Statistics in Agriculture and Natural Resources (May 2021)

coda23

Poster for the Conference on Data Analysis 2023

cpulabenchmarks

An R package with 18 basic linear algebra operations to benchmark CPUs

dotfiles

A collection with my .config files

gsoc17-hhmm

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

isu2022

A repository for my departmental talk in the Statistics Department at Iowa State University

isu21cc

isu23

Seminar at Iowa State University (January 2023)

isucc20-presentation

Oral presentation slide deck for my M.Sc. in Statistics oral exam

jpl21

Talk at the 2022 Uncertainty Quantification for Remote Sensing Inverse Problems Virtual Breakout Meeting hosted by NASA Jet Propulsion Laboratory (October 2021)

jpl22

Presentation for the 2022 Remote Sensing Uncertainty Quantification Virtual Breakout hosted by NASA Jet Propulsion Laboratory

kbase

My personal knowledge database

leastfracdiff

Minimal tools for approximating the least fractional difference order that transforms a time series into a stationary one, as suggested by de Prado (2018).

litrev

A repository for my own reading notes

luisdamiano.github.io

My GitHub pages.

prelim22

Oral preliminary examination presentation

pushplots

An easy way to upload plots to public sharing services

rescience-submission

ReScience submission repository

rfinance17

Presentation and notebook for the lightning talk A Quick Intro to Hidden Markov Models Applied to Stock Volatility presented in R/Finance 2017.

ritas-deploy

Basic file and folder structure to create RITAS maps

ritas-pkg

Create smooth maps for yield monitor data.

rstaninvgamma

R package to draw samples from an inverse gamma via Stan

siamuq22

SIAM Conference on Uncertainty Quantification (UQ22)

siamuq22-wordcloud

A word cloud generated from the searchable abstract of the SIAM Uncertainty Quantification 2022 (SIAM UQ22) conference

snedecor-latex

LaTeX classes to ease and nicen my time in the Snedecor Hall

snl23

Seminar at Sandia National Laboratories (January 2023)

sparsergps

R package for fitting full and sparse Gaussian processes.