luisdamiano Goto Github PK
Name: Luis Damiano
Type: User
Company: Department of Statistics at Iowa State University
Bio: No problem!
Name: Luis Damiano
Type: User
Company: Department of Statistics at Iowa State University
Bio: No problem!
Seminar at Argonne National Laboratory (December 2022)
Full Bayesian Inference for Hidden Markov Models
Bibliography files
Poster for the Conference on Applied Statistics in Agriculture and Natural Resources (May 2021)
Poster for the Conference on Data Analysis 2023
An R package with 18 basic linear algebra operations to benchmark CPUs
A collection with my .config files
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
A repository for my departmental talk in the Statistics Department at Iowa State University
Seminar at Iowa State University (January 2023)
Oral presentation slide deck for my M.Sc. in Statistics oral exam
Talk at the 2022 Uncertainty Quantification for Remote Sensing Inverse Problems Virtual Breakout Meeting hosted by NASA Jet Propulsion Laboratory (October 2021)
Presentation for the 2022 Remote Sensing Uncertainty Quantification Virtual Breakout hosted by NASA Jet Propulsion Laboratory
My personal knowledge database
Minimal tools for approximating the least fractional difference order that transforms a time series into a stationary one, as suggested by de Prado (2018).
A repository for my own reading notes
My GitHub pages.
Oral preliminary examination presentation
An easy way to upload plots to public sharing services
ReScience submission repository
Presentation and notebook for the lightning talk A Quick Intro to Hidden Markov Models Applied to Stock Volatility presented in R/Finance 2017.
Basic file and folder structure to create RITAS maps
Create smooth maps for yield monitor data.
R package to draw samples from an inverse gamma via Stan
SIAM Conference on Uncertainty Quantification (UQ22)
A word cloud generated from the searchable abstract of the SIAM Uncertainty Quantification 2022 (SIAM UQ22) conference
LaTeX classes to ease and nicen my time in the Snedecor Hall
Seminar at Sandia National Laboratories (January 2023)
R package for fitting full and sparse Gaussian processes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.