Carlos Rodriguez

Carlos Rodríguez is an Associate Professor in the Department of Mathematics and Statistics at the State University of New York at Albany (SUNY Albany). He has maintained an academic server since 1993, hosting research papers, teaching materials, and software tools. His research focuses on statistical inference, mathematical physics, and online mathematics, with notable contributions to Bayesian nonparametrics, density estimation, and maximum entropy methods. He teaches courses such as calculus, linear algebra, and machine learning, and has developed software like Mapleman the Math Bot.

His research interests emphasize geometric interpretations of statistical concepts, including entropic priors, Bayesian networks, and model selection criteria like CIC. He has explored applications in neutron depth profiling and probabilistic graphical models. Rodríguez's work bridges theoretical foundations with computational methods, as seen in his papers on MCMC algorithms and cross-validated Bayesianism. His server archives over two decades of publications, including seminal works on optimal recovery, ignorance theory, and likelihood principle critiques.

While not explicitly listed, his contributions to statistical education and software development highlight his commitment to advancing both research and pedagogy in mathematics and statistics.