- Carlos Rodríguez's Server - Carlos Rodríguez's Server -

[research] [teaching] [personal] [software]

[calculus3] [linear alg.] [stats108] [JaynesBook] [Ms. Mapleman] [public key]

- Carlos Rodríguez's Server - Carlos Rodríguez's Server -

Welcome to the main portal of my OMEGA server, the first at the University at Albany, running since September 1993.

I am an associate professor in the department of Mathematics and Statistics. The general area of my research is statistical inference. I am also interested in mathematical physics, online mathematics and the basic game of tic-tac-tic-tac TOE.

Some of my papers at arXiv.org And in DjVu

binbox.ipynb: Binary Boxes
Learning from Data&Prior:: [dataprior (.pdf)]
Sourav Chatterjee 2004 Trick:: [ ChatterjeeTrick (.pdf)]
Information Geometry in sage:: [ig.sage]
Sim: Simplification by Annealing in sage.: [ Sim.pdf ] [ Sim.sagews ]
Complete derivation of the 0-Prior for k dimensional Gaussians:: [(mat565)Lecture (.pdf)]
R in the browser with sage:: [ The Birth of Baby Bell (.pdf)]; [ Pascal's T. Approaching Bell Curve (.pdf)]; [ ggplot code for previous line (.R)]; [ The Birth of Baby Bell (.sws)]; [ Solving non linear equations by MCMC (.html)
Sage functions for surface and line integrals:: [ SurfInt.sage (.txt)]; [ Ex: Stokes' Theorem (.pdf)]; [ Triangle.sws ]
World Words embeddings (Picture with word2vec/tsn5 2019):: [ worldwords.png]
Umbra to the pseudo-sphere:: [ EulerEns.png]; [ EulerEns.pdf]
This is what ChatBot has to say: [ O4 commentary]
Inference and Geometry: maxent2010.: [paper] [PowerPoint] [all+ Video]
Beyond Bayes: [pdf:59k]
MaxEnt2007: Talks+ppts+Videos+papers: [Group Picture with links]
Wrong Priors: [pdf:710k]
Raping the Likelihood Principle: [pdf:115k]
Skilling's Nests: [pdf:93k]
Antidata: [pdf:243k]
The ABC of Model Selection: AIC, BIC, and the New CIC.: [About] [html] [PowerPoint: 5.2M] [pdf:163k] [djvu:67k] [cicmovie: 2M] [all+software]
The Volume of Bitnets: [About] [html] [PowerPoint:1.2M] [pdf:79k] [djvu:179k] [all+software]
A Geometric Theory of Ignorance: Oct. 2002: [Paper+References]
Entropic Priors for Bayesian Nets and for Mixtures of Gaussians: [About] [physics/0201016] [pdf:229k] [djvu:179k]
Optimal Recovery of Local Truth: Probability Mass Curves the Data Space.: [About] [ physics/0010063] [imperfect html] [pdf:289k] [djvu:198k]
unreal probabilities: partial truth with clifford numbers: [about] [ physics/9808010] [djvu:166k] [imperfect html] [PowerPoint Presentation]
are we cruising a hypothesis space?: [about] [ physics/9808009] [djvu:75k] [imperfect html] [PowerPoint Presentation]
cv-np bayesianism by mcmc: [about] [ physics/9712041] [djvu:69k] [html]
confidence intervals from one observation: [about] [ bayes-an/9504001] [djvu:58k] [html]
Sampling with Connections: [about] [pdf:183k] [djvu:(missing 2 pages)]
Bayesian Robustness: A New Look from Geometry: [about] [robust.pdf:1996] [djvu:74k]
Deconvolution of Neutron Depth Profiling Spectra with Entropic Priors: [about] [ps:200k] [djvu:81k]
Entropic Priors: [about] [pdf:210k] [djvu:130k missing pages at the end.]
On a New Class of Density Estimators: [about] [npde.pdf:1992] [djvu:113k]
From Euclid to Entropy: [about] [pdf:] [djvu:46k]
The Riemannian Manifold Induced by a Density Estimator: [about] [djvu:46k]

Selected Scanned (with DjVu)

The Metrics Induced by the Kullback Number

On The Efficiency of a Class of Maximum Entropy Estimators

Maximum Entropy Smoothing

Weak Convergence of Multivariate k-nn

On the Estimation of the Bandwidth Parameter Using a Non-informative Prior

Understanding Ignorance

Also from Omega

Personal:: [Family Pictures] [Little omega at home] [Poetry] [Very Personal: Don't Click]
Courses:: [calculus3] [Linear Alg.] [Elem. Stats] [Markov Chain Monte Carlo] [Machine Learning]
Software:: [Mapleman the Math Bot] [Online Stats Problems] [Maple2html] [CandyMail (Yak!)]
Other:: [JaynesBook on Probability(ps)] [JaynesBook(pdf)] [LaTeX: help] [(old) ISBA] [MaxEnt] [VR-Gluons] [My PGP Public Key] [My Old Page]

Carlos Rodriguez <carlos@math.albany.edu>