luisdamiano
Postdoctoral Appointee with the Optimization & Uncertainty Quantification department at Sandia National Laboratories
Sandia National LaboratoriesAlbuquerque, New Mexico
Pinned Repositories
BayesHMM
Full Bayesian Inference for Hidden Markov Models
gsoc17-hhmm
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
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).
luisdamiano.github.io
My GitHub pages.
prelim22
Oral preliminary examination presentation
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-pkg
Create smooth maps for yield monitor data.
stancon18
A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
TrackingParticles
Particle filter for a non-linear state-space model for object tracking.
luisdamiano's Repositories
luisdamiano/gsoc17-hhmm
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
luisdamiano/BayesHMM
Full Bayesian Inference for Hidden Markov Models
luisdamiano/ritas-pkg
Create smooth maps for yield monitor data.
luisdamiano/kbase
My personal knowledge database
luisdamiano/luisdamiano.github.io
My GitHub pages.
luisdamiano/prelim22
Oral preliminary examination presentation
luisdamiano/ritas-deploy
Basic file and folder structure to create RITAS maps
luisdamiano/TrackingParticles
Particle filter for a non-linear state-space model for object tracking.
luisdamiano/ANL22
Seminar at Argonne National Laboratory (December 2022)
luisdamiano/bibfiles
Bibliography files
luisdamiano/CPULABenchmarks
An R package with 18 basic linear algebra operations to benchmark CPUs
luisdamiano/casarn21
Poster for the Conference on Applied Statistics in Agriculture and Natural Resources (May 2021)
luisdamiano/coda23
Poster for the Conference on Data Analysis 2023
luisdamiano/dotfiles
A collection with my .config files
luisdamiano/ISU2022
A repository for my departmental talk in the Statistics Department at Iowa State University
luisdamiano/isu21cc
luisdamiano/isu23
Seminar at Iowa State University (January 2023)
luisdamiano/isucc20-presentation
Oral presentation slide deck for my M.Sc. in Statistics oral exam
luisdamiano/jpl21
Talk at the 2022 Uncertainty Quantification for Remote Sensing Inverse Problems Virtual Breakout Meeting hosted by NASA Jet Propulsion Laboratory (October 2021)
luisdamiano/jpl22
Presentation for the 2022 Remote Sensing Uncertainty Quantification Virtual Breakout hosted by NASA Jet Propulsion Laboratory
luisdamiano/litrev
A repository for my own reading notes
luisdamiano/rstaninvgamma
R package to draw samples from an inverse gamma via Stan
luisdamiano/SIAMUQ22
SIAM Conference on Uncertainty Quantification (UQ22)
luisdamiano/SIAMUQ22-wordcloud
A word cloud generated from the searchable abstract of the SIAM Uncertainty Quantification 2022 (SIAM UQ22) conference
luisdamiano/snedecor-latex
LaTeX classes to ease and nicen my time in the Snedecor Hall
luisdamiano/snl23
Seminar at Sandia National Laboratories (January 2023)
luisdamiano/sparseRGPs
R package for fitting full and sparse Gaussian processes.
luisdamiano/strips1-symposium20
Presentation for the Science-based Trails of Rowcrops Integrated with Prairie Strips Research symposium (2020)
luisdamiano/tinyutils
A lightweight, minimal R package with convenience functions for interactive use
luisdamiano/unpackaged.el
A collection of useful Emacs Lisp code that isn't substantial enough to be packaged