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| | Demissie Alemayehu | (Pfizer Pharmaceutical Company) |
| Lecture 1: Current Issues with Meta-analysis in Medical Research |
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| Genevera Allen | (Stanford University) |
| Lecture 1: Transposable Regularized Covariance Models with Applications to High-Dimensional Data |
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| José Luis Batun | (Universidad de Yucatán) |
| Addy Bolivar | (CIMAT) |
| Lecture 1: Principal Component Analysis for a Spiked Covariance Model with Largest Eigenvalues of the Same Asymptotic Order of Magnitude |
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| C. Sidney Burrus | (Rice University) |
| Connexions Workshop: (powerpoint) How to use Connexions as an author, teacher, or student |
| Lecture 1: (powerpoint) Open Educational Resources for Global Education |
| Article: Open Educational Resources (OER) and Connexions |
| |
| Christopher Calderon | (Rice University y Lawrence Berkeley National Laboratory) |
| Lecture 1: Motivation and Some Overlapping Interests in Finance and Chemical Physics |
| Lecture 2: Ito's Formula and Its Uses in Statistical Inference |
| Lecture 3: Review of Classic Quadratic Variation Results and Relevance to Statistical Inference in Finance |
| |
| Cheng Cheng | (St Jude's Children's Research Hospital) |
| Lecture 1: Exploratory Failure Time Analysis
and Copy Number Variation Inference |
| |
| Hector Corrada | (Johns Hopkins) |
| Lecture 1: Introduction to Bioconductor and object oriented programming in R |
| Lecture 2: Introduction to object oriented programming in R, with special emphasis on the ExpressionSet class |
| Lecture 3: Introduction to Biocondcutor tools for
second-generation sequencing analysis |
| Lecture 4: From CEL Files to Annotated Lists of Genes (Part 1) |
| Lecture 5: From CEL Files to Annotated Lists of Genes (Part 2) |
| |
| Begoña Fernández | (UNAM) |
| Lecture 1: Estimates of VaR for Itô Processes |
| Lecture 2: Estimation of Value at Risk and ruin probability for diffusion processes with jumps |
| Lecture 3: Estimates for the Probability Itô Processes Remain Near a Curve, and Applications |
| |
| José Enrique Figueroa | (Purdue) |
| Lecture 1: Background on L´evy processes |
| Lecture 2: Introduction to financial models driven by L´evy processes |
| Lecture 3: Traditional Parametric Methods for Geometric Lévy Model |
| Lecture 4: Some Non-parametric Methods for Lévy Models |
| |
| Olympia Hadjiliadis | (City University of New York) |
| Lecture 1: (powerpoint) Quickest detection and the problem of two-sided alternatives |
| Lecture 2: (powerpoint) Multi-dimensional quickest detection |
| Lecture 3: Drawdowns, Drawups, their joint distributions, detection and financial risk management |
| |
| Rafael Irrizarry | (Johns Hopkins) |
| Lecture 1: Introduction to Genome Biology |
| Lecture 2: Introduction to Technology |
| Lecture 3: Statistics applied to second-generation sequencing data |
| Lecture 4: Statistics Applied To Microarray Data |
| |
| Alejandra Jimenez | (Univeridad de Costa Rica) |
| Lecture 1: Análisis en Componentes Principales (ACP) |
| Ejemplos de ACP |
| |
| Ernesto Mordecki | (Universidad de la Republica, Uruguay) |
| Lecture 1: Lévy models in finance |
| Lecture 2: Lévy models in finance II |
| Lecture 3: Optimal stopping for Hunt and Lévy processes |
| Lecture 4: Skewness in Lévy Markets |
| |
| Alex Murillo | (Universidad de Costa Rica) |
| Lecture 1: Multidimensional Scaling (MDS) |
| Lecture 2: Particionamiento Numérico usando Metaheurísticas de Optimización |
| Lecture 3: Unidimensional Scaling (UDS) & Multidimensional Scaling (MDS) |
| |
| Tuan Nguyen | (Rice University) |
| Lecture 1: Dimension Reduction Methods with Application to High-dimensional Data with a Censored Response |
| |
| Eduardo Piza | (Universidad de Costa Rica) |
| Lecture 1: Metodos de la Clasificación Automática |
| Lecture 2: Análisis Discriminante |
| Lecture 3: Particionamiento Numérico usando Metaheurísticas de Optimización |
| Lecture 4: Clasificación Binaria |
| |
| Claudia Rangel | (Instituto Nacional de Medicina Genómica - INMEGEN) |
| Lecture 1: Inference and Learning in
Computational Systems Biology |
| |
| Donald Richards | (Penn State) |
| Lecture 1: Constant Proportion Debt Obligations, Zeno’s Paradox, and the Spectacular Financial Crisis of 2008–2018 |
| Lecture 2: Return Optimization Notes, Principal Protection Notes, and Other Remarkable Structured Investment Vehicles |
| Lecture 3: Models for Real-World Investors, and the Abyss Between Value Investing and Financial Engineering, I |
| Lecture 4: Models for Real-World Investors, and the Abyss Between Value Investing and Financial Engineering, II |
| |
| Víctor Rivero | (CIMAT) |
| Lecture 1: de Finetti's Control Problem |
| |
| Javier Rojo | (Rice University) |
| Jeremy Taylor | (University of Michigan) |
| Lecture 1: FINDING SUBGROUPS OF ENHANCED TREATMENT EFFECT |
| Lecture 2: Constrained estimation for binary and survival data |
| Lecture 3: Individual Prediction and Validation Using Joint Longitudinal-Survival Models in Prostate Cancer Studies |
| Lecture 4: Statistical Methods in Surrogate Marker Research for Clinical Trials |
| |
| Javier Trejos | (Universidad de Costa Rica) |
| Lecture 1: Introduccion al Análisis Multidimensional Lineal |
| Lecture 2: Análisis Factorial de Correspondencias Simples (AFC) |
| Análisis de Correspondencias Múltiples (ACM) |
| Lecture 3: Análisis de Tablas Múltiples |
| Lecture 4: Particionamiento Numérico usando Metaheurísticas de Optimización |
| Lecture 5: Clasificación Bimodal |
| Lecture 6: Optimización Combinatoria en Problemas de Regresión |
| |
| Johan Van Horebeek | (CIMAT) |
| Lecture 1: Kernel PCA: Keep walking ... in informative directions |
| |
| Marina Vannucci | (Rice Univeristy) |
| BAYESIAN METHODS FOR VARIABLE SELECTION WITH APPLICATIONS TO HIGH-DIMENSIONAL DATA Intro: Course Outline and Brief Intro to Bayesian Methods |
| Lecture 1: Intro: Course Outline and Brief Intro to Bayesian Methods |
| Lecture 2: Mixture Priors for Linear Settings |
| Lecture 3: Variable Selection for Mixture Models |
| Lecture 4: Functional Data & Wavelets |
| |
| Mario Villalobos | (Universidad de Costa Rica) |
| Lecture 1: Análisis en Componentes Principales (ACP) |
| Ejemplos de ACP |
| Lecture 2: Particionamiento Numérico usando Metaheurísticas de Optimización |
| Lecture 3: Unidimensional Scaling (UDS) & Multidimensional Scaling (MDS) |
| Lecture 4: Optimización Combinatoria en Problemas de Regresión |
| |
| Tyrone Vincent | (Colorado School of Mines) |
| Lecture 1: Concentration of measure: fundamentals and tools |
| Article |
| Lecture 2: Applications of concentration of measure in signal processing |
| Article |
| |
| Hadley Wickham | (Rice University) |
| Lecture 1: Visualisation in R |
| Lecture 2: Graphical inference |
| Lecture 3: Mathematics of the tour |
| Lecture 4: Other types of tour |
| Lecture 5: The tour |
| Lecture 6: tourr |
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