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The Reality Check | Canada's weekly podcast that explores a wide range of controversies and curiosities using science and critical thinking
Canada's weekly podcast that explores a wide range of controversies and curiosities using science and critical thinking.
Author: Posted on
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A blog on statistics, methods, philosophy of science, and open science. Understanding 20% of statistics will improve 80% of your inferences.
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Nicholas Lewis, an independent Climate Science Researcher, based in the UK. Climate Science Researcher - Data Analysis - Probability - Statistical Inference - Climate Variability - Climate- Climate Science - Physics of Global Warming - Bayesian Inference - Radiative Forcing - Global Climate Model - Parameters
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The "Learning Bayesian Statistics" podcast
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Bayesian Causal Inference for Real World Interactive Systems
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Rationally Speaking
<b>Rationally Speaking: an archived blog about science & philosophy, by Massimo Pigliucci</b>
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Analysis with Programming
This blog is all about Statistics/Data Science, Mathematics and Computer Science with programming languages such as R, Python, and C/C++.
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py-bbn — PyBBN 3.2.1 documentation
An exact probabilistic and causal inference API using Bayesian Belief Networks (BBNs).
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Home - Luke J. Keele
I am a professor who studies applied statistics and causal inference with applications in the social and medical sciences. I am currently faculty at the University of Pennsylvania.
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Statistical Inference via Data Science
An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.
Author: Chester Ismay; Albert Y. Kim Foreword by Kelly S. McConville
Method Matters Blog
A blog about data science, statistics, and data analysis with open-source software.
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Design Computation | Zack Xuereb Conti
Zack Xuereb Conti's research lies at the intersection of design computation in architecture, engineering simulation, and statistical methods. His PhD thesis adopts Bayesian networks to introduce knowledge-inference at this very intersection - between design and analysis.
Nimbous - Architects of machine learning, cloud and big data
Unique problems requires unique approaches. We bring data science framework, statistical inference and machine learning to the equation.
Volker J Schmid
Professor for Bayesian Imaging and Spatial Statistics
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zstat.pl - blog
Blog about R, Scala, Shiny, Spark, statistics, data science, machine learning and other stuff.
iSIMBA – investigation of Stars In the Milky way with Bayesian statistics and Asteroseismology
investigation of Stars In the Milky way with Bayesian statistics and Asteroseismology
Tea & Stats
Tea, statistics and t-statistics: a data science blog by David Selby.
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R-INLA Project
R-INLA is a package in R that do approximate Bayesian inference for Latent Gaussian Models. This site is dedicated to that package and methodological developments that goes along with it.
Calendar – HELIOS Reading Group @ UChicago – High-dimensional Estimation, Learning, Inference, and Optimization in Statistics
High-dimensional Estimation, Learning, Inference, and Optimization in Statistics
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Daniel Roy
Foundations of machine learning and statistics; Bayesian nonparametric statistics; computable probability theory; probabilistic programming languages.
Colin Reimer Dawson
I am an Assistant Professor in the Math Department at Oberlin College. I teach statistics and do research in Bayesian statistics and machine learning.
Chris Norval
A blog on R, statistics, machine learning, and data science.
The Beginner Programmer
A blog about Statistics, Data Science and Machine Learning experiments using Python, R and Java. On occasion Finance, Electrical circuits and Arduino
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The Horizon of Reason
Welcome to The Horizon of Reason, a blog about the limits of rationality
About | Stephen R. Martin, PhD
I am a senior data scientist at Comscore. My passion is building new models and extending old ones to improve predictions, decision making, and inferences. Unique questions deserve unique models. I specialize in Bayesian model building and assessment. Broadly, Bayesian generative models let you build the model that your problem and process deserves. In particular, … Continue reading "About"
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entropy
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Author: Barbara Rieger
Isaac Lavine - Professional Webpage
Graduate student at Duke University studying statistics, with an interest in Bayesian forecasting and time series
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Data Programming | Little bits of knowledge about programming, statistics, and data science.
Little bits of knowledge about programming, statistics, and data science.
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inFERENCe
A blog about machine learning research, deep learning, causal inference, variational learning, by Ferenc Huszár.
Extreme Enginerding
A blog about applied statistics and engineering.
Author: Michael Ross
TDSGN – PhD tales, Bayesian statistics, GIS & Leaflet.js, disease mapping and public health, machine learning.
PhD tales, Bayesian statistics, GIS & Leaflet.js, disease mapping and public health, machine learning.
Sunil Bhatia - Blog on Engineering Management, Software Engineering, Data Science, Analytics and Statistics
Blog on Engineering Management, Software Engineering, Data Science, Analytics and Statistics
ArviZ | Exploratory Analysis of Bayesian Models
ArviZ's goal is to provide backend-agnostic tools for diagnostics and visualizations of Bayesian inference. It includes functions for posterior analysis, data storage, sample diagnostics, model checking, and comparison.
notes from seb! | Sebastian Warnholz
A blog about statistics, programming and R by Sebastian Warnholz.
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Blog | joypauls.dev
A blog about various topics in statistics and mathematics
Más que esto - A blog about statistics, computing, and other things that interest me
A blog about statistics, computing, and other things that interest me
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R in Ecology and Evolution
A blog about R statistical language in ecology and evolution
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Berry Consultants
Berry Consultants is a statistical consulting group specializing in the Bayesian approach that is changing how research is done in the medical industry.
Sharp bell
Sharp bell: personal blog of Osvaldo Zagordi, physicist by background. Data science, statistics, science, machine learning, python, R and so on.
The Stats Geek
A blog about statistics, with a particular focus on biostatistics applications.
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Decision Science News
Decision Science News is a website about Behavioral Economics, Data Science, Statistics, Marketing, Management, Psychology, Computer Science, Health, Policy, & Law
Jonathan Cornford
Personal website for Jonathan Cornford, blog, data science, machine learning, statistics, neuroscience
Author: Jonathan Cornford
BayesFactor: Software for Bayesian inference
A blog devoted to the BayesFactor software for Bayesian data analysis
Author: Richard Morey
Entropy | AruSahni.net
Aru Sahni's personal blog.
Author: Aru Sahni
Home | Seth Flaxman
Seth Flaxman is a senior lecturer in statistics at Imperial College London, working on Bayesian machine learning applied to public policy.
Fong Chun Chan's Blog
A blog about bioinformatics, cancer research, R, statistics and BIG data
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Matt Craddock
Personal website of Matt Craddock, where I blog about statistics, EEG, and R
Author: Matt Craddock
WORLD OF SCIENCE
a blog about science and technology and also social science materials.
Department of Statistical Sciences | University of Toronto
U of T's Department of Statistical Sciences is a world-renowned training ground for experts in actuarial science, probability theory, applied statistics, statistical computation and theoretical statistics.
CSTechPause
A Blog about Computer Science
TechSay Right
It is a blog about technology and science
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Rens van de Schoot I Professor at Utrecht University
On behalf of the University of Utrecht, Rens is primarily working on Bayesian statistics, expert elicitation and developing active learning software for systematic reviewing
Author: Rens van de Schoot
Home | AME Lab
The Almost Matching Exactly Lab provides a range of matching methods for causal inference using statistical machine learning algorithms.
Home | AME Lab
The Almost Matching Exactly Lab provides a range of matching methods for causal inference using statistical machine learning algorithms.
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Max Woolf's Blog
A blog by data scientist Max Woolf about statistics and pretty charts.
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This is a blog about science, finance, computer science, programming and travelling.
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A blog about science, technology, science fiction, books, and the future.
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This blog aims to cover two perspectives of Data Science, specifically natural language processing and statistics related posts.
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Abstract Entropy
Thoughts and ideas, call it abstract, about random things, call it entropy 👌.
Coffee - CoffeeResearch.org
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Wrestling with Philosophy
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Econometrics Beat: Dave Giles' Blog
Econometrics blog with EViews applications Econometrics is fun!
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KHÔNG ĐẾN KHÔNG ĐI
Khi hoà làm một với Chân Lý thì khi ấy chính là Vô Tu Vô Chứng Vô Đắc Vô Cầu Vô Sợ. Mọi phải trái đúng sai chánh tà đen trắng đều là Chân Lý vì tất cả đều đi theo quỹ đạo của Nhân Quả.
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Of Bacteria and Men
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annes papercreations
My creative world
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魔術師的伊謝爾倫日記
楊提督寧願駐守邊疆伊謝爾倫都唔願返首都海尼森.
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EXWEL TRUST
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ruteandopro
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bicicleta, ciclismo, mtb, fotografía, bici, entrenamiento, rutas, altimetrías, naturaleza, deporte
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El Arca del Misterio
El blog donde todas tus preguntas y dudas serán resueltas. Mitos, arqueología, tecnología, misterios, extraterrestres, fantasmas, esoterismo, astronomía, ciencia, ovnis, y mucho más aquí, en tu blog El arca del Misterio.
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CANTINHO DAS HISTÓRIAS BÍBLICAS
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Re(paso) de lengua
Para los profesores de lengua y literatura, este blog pretende ser la Cueva de Alí Babá, en la que encontrar alguna idea, algún germen que permita abrir caminos, sembrar dudas, avivar el seso de los más inquietos.
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EL AFINADOR DE QUESOS
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