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Causal inference and other statistics in the world of sports

         

<p><i>Emerging Themes in Epidemiology</i> aims to promote debate and discussion on practical and theoretical aspects of epidemiology. We welcome primary research and discursive articles. We particularly encourage submissions in the following areas: new epidemiological concepts and methods, including new statistical methods, novel ways of presenting and providing insights into existing epidemiological concepts and methods, including in a teaching environment, use of epidemiological research methods in non-medical settings, causal inference in epidemiology and applications of new technologies in field studies.</p><p/>

The Database for AI

NRules : Business rules engine for .NET, based on the Rete matching algorithm, with internal DSL in C#

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The argument that design detection does not work because every sequence is equally improbable is analyzed and refuted.

I am currently a Research Scientist at Disney Research Pittsburgh, working in the field of machine learning.

SREE advances research on policies, programs, and practices that cause educational and related outcomes.

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posts on machine learning, statistics, opinions on things I'm reading in the space

----------------------------------------------------- Univ Lyon, Université Lyon 1, CNRS Laboratoire de Biométrie et Biologie Evolutive UMR5558 F-69622 Villeurbanne, France -------------------------------------------------------- As a quantitative ecologist I am interested in developing and applying methods to describe patterns and estimate trends in nature, in order to make unbiased correlative inference of relevance to wildlife management and conservation. Quantitative ecology is…

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This is the site for the INLA approach to Bayesian inference within the R project for Statistical Computing.

Inference Series: Intuitive deliberation in visual energy. Inner-Circle Series: Transmutation of distinct gesture to replicable lexicon of sculptural forms. Beta Series: Invented symbolic language,

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Lecture notes, MCQS of Statistics

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Aptitude development program for children aged 8 to 15 years. Develop maths, English, creative thinking, logical reasoning skills

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Philosophy, literature, ideas, criticism, history, art, music from The Chronicle of Higher Education.

Infermedica collects, analyzes and uses medical knowledge to ask diagnostic questions to unmask your patients' conditions.

Inference: International Review of Science, Volume 3 Issue 1

A collection of interactive statistical web apps useful for statistical inference and illustration of statistical concepts. Companion website for the intro stats book 'Statistics. The Art and Science of Learning from Data', by Agresti, Franklin & Klingenberg, 4th edition.

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Replicon Health is a development company focusing on products improving mitochondrial functions and in therapy of mitochondria related multiple and diverse disorders.

David Steurer is an assistant professor at the Institute for Advanced Study and Cornell University. He investigates the power and limitations of mathematical relaxations for basic optimization problem. His current focus is on the sum-of-squares method and the Unique Games Conjecture with applications to inference problems that arise in machine learning.

The blog and personal website of Eugene Wei

Welcome to the Netadis website! NETADIS aims to train a cadre of future research leaders in advanced methods of analysis, inference, control and optimization of network structure and dynamics, to maximize the impact of statistical physics approaches across a broad range of application areas. It is funded by the People Programme - Marie Curie Actions…

Web site of Professor Mo Geraghty, Mathematics and Statistics Instructor at De Anza College.

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Domagoj Babic is a computer scientist. His research interests include verification, testing, and security of complex software (and hardware) systems, automated inference of system models, design and verification of distributed systems, and applied formal methods in general.

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems.

Yimin Zhang Assistant Professor of Statistics Department of Mathematics and Statistics St Augustine Ctr Liberal Arts Rm 325 Villanova University 800 Lancaster Avenue, Villanova, PA 19085 Phone: 610.519.4704 E-mail: [email protected] Research Interest My research interest lies in multiple comparison, large-scale inference, predictive modeling and ranked-set sampling. Education Ph.D., Statistics, Oklahoma State University, May 2014 B.S.,…

political economy of development, experiments, causal inference, accountability, governance, poverty, conflict

Machine learning, Bayesian nonparametric statistics, learning theory, Bayesian inference, large-scale inference.

<p>Abhishek completed his undergraduate studies in Information Technology at University School of Information and Communication Technology, GGSIPU in 2015. Since then he has worked as Research Assistant at Emergent and Autonomous Systems Lab under Prof. Sachit Butail, IIIT Delhi and as a Project Assistant under Prof. Jayadeva at IIT Delhi. He currently a graduate student at the Computer Science Department in Columbia University, NY, USA. </p> <p>Abhishek has had a unique interdisciplinary research exposure to AI systems. His projects range from designing artificially intelligent autonomous systems that operate in varied setups, all the way to studying common emergent phenomena in natural systems. He has published 5 research papers in the field of complex systems, artificial intelligence and statistical inference. He is currently working on Deep Reinforcement Learning applications for Natural Language Processing and General-game Playing. He is also enthusiastic about open-source tools and frequently contributes to many open-source projects.</p> <p> (He does not usually refer to himself in the third-person.) </p> <p> <b>Contact:</b> abhigenie92 AT gmail DOT com </p>

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Relative Entropy for Fun and Profit

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JS NICE | Software Reliability Lab in ETH

Doomoolmori 의 Data Science Team 에서 운영하는 블로그입니다. 저희는 크게 3가지의 주제를 다루고자 합니다. 통계, R, Machine learning 을 비롯한 통계적 추론, 모델링, 알고리즘 등에 대한 튜토리얼과 paper / book review 금융 투자 기법, 포트폴리오 이론 등에 대한 paper review 및 리서치 1과 2를 이용한 Application Sample   요즘 서비스 개발에 정신이 없어서 한동안은 매우…

I am a machine learning researcher.

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A proof-of-concept technology demonstration of consumer-oriented rule-based expert systems delivered over the Internet. Here you'll find resource information about the expert systems approach to providing knowledge online along with free expert system, decision table and rule induction tools and demo expert systems suggesting potential applications as product advisors/infomercials, diagnostic assistants,job aids/performance-support tools and technical tutors for Web and smartphone delivery.