Probabilistic reasoning, causal inference and statistics
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# Probabilistic reasoning, causal inference and statistics

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## Multisensory Causal Inference in the Brain

How does our brain organize and merge multisensory information? A new study localizes the brain regions underlying sensory fusion and causal inference by combining neuroimaging and computational modelling.

Via Ashish Umre
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## Counterfactuals: Causal Inference Bootcamp

This module discusses the importance of counterfactuals in causal inference, and the idea of irrefutability.
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## Causal Inference with Graphical Models in Silicon Valley

This course offers an applied introduction to directed acyclic graphs (DAGs) for causal inference from observational data.
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## Download An Introduction to Probability and Statistical Inference Second Edition PDF

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## Medical monitoring class action rejected at pleading stage - Lexology (registration)

A federal court recently rejected a proposed medical monitoring class action brought by alleged Pepsi drinkers. The case reminds readers of the…
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## If you did not already know: "Causal Inference"

Causal inference is the process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect. The main difference between causal inference and inference ...
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## Risk analysis probability of default: a stochastic simulation model - Risk.net

We present a stochastic simulation model for estimating forward-looking corporate probability of default and loss given default. We formulate the model in a discrete...
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## “Statistical Science and Philosophy of Science: where should they ...

To this end I consider two interrelated areas around which to organize foundational issues in statistics: (1) the roles of probability in induction and inference, and (2) the nature and goals of statistical inference in science or ...
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## Science Moneyball: The Secret to a Successful Academic Career

New analysis of PubMed data shows what principal investigators have in common (RT @bradleyvoytek: New @CurrentBiology paper on predicting probability of becoming PI. This sucks.
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## Iya Khalil - Applying causal inference modeling in multiple sclerosis (2013)

Workshop lecture at Neuroinformatics 2013 in Stockholm, Sweden Workshop title: Orion Bionetworks: Predictive Models Powering the Search for Cures Talk title:...
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## Probability Tools

Get Probability Tools on the App Store. See screenshots and ratings, and read customer reviews.

Via Jon Samuelson
Alec Giugliano and Bryan Morell's comment, March 2, 2013 11:03 AM
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## 22. Bayesian Statistical Inference II

MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis...
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## Introduction to probability and statistics from a Bayesian viewpoint ...

Reichenbach was a frequentist, but he took a Bayesian approach to statistical inference. 1 Department of Probability and Statistics, Charles University, Sokolovska 83, Praha-8, CZ-18675, Czech Republic The same caveat is ...
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## conditional probability

A video on conditional probability.
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## Amazon.co.jp： Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction: Guido W. Imbens, Donald B. Rubin: 洋書

### Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

 Price: 7,843
Amazon.co.jp： Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction: Guido W. Imbens, Donald B. Rubin: 洋書
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## Cannabis and psychosis - The Lancet Psychiatry

Causal inferences from case–control studies are always hazardous, particularly with poor matching and incomplete specification and imprecise measurement of possible confounds. The unwanted influence of relevant group differences, whether measured or left unmeasured, might only be compounded by brute application of statistical controls. Awareness of the obvious political and policy implications of results, and the likely misuse to which they could be put, apparently failed to discourage the authors from inappropriate causal inferences and ignoring of obvious limitations of their study. This failure can only serve to distract readers from the important message concerning the need for a distinction between higher and lower potency forms of cannabis, even if it should be made with greater precision and in the context of a prospective study.

Via Julian Buchanan
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Interesting comment on the use of appropriate causal inference

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## Amazon.co.jp： Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction: Guido W. Imbens, Donald B. Rubin: 洋書

### Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction

 Price: 7,719
Amazon.co.jp： Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction: Guido W. Imbens, Donald B. Rubin: 洋書
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## Amazon.co.jp： Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research): Stephen L. Morgan, Christopher Winship: 洋書

### Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

 Price: 5,158
Amazon.co.jp： Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research): Stephen L. Morgan, Christopher Winship: 洋書
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## Starter: A great way to start probability – The Happy Birthday Problem

Magical Maths
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## Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction

Most questions in social and Biomedical Sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed?
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## How Statisticians Found Air France Flight 447 Two Years After It Crashed Into Atlantic | MIT Technology Review

After more than a year of unsuccessful searching, authorities called in an elite group of statisticians. Working on their recommendations, the next search found the wreckage just a week later.
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## Paradoxes in Scientific Inference - Free eBook Share

eBook Free Download: Paradoxes in Scientific Inference | PDF, EPUB | ISBN: 1466509864 | 2012-10-15 | English | PutLocker

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Fox eBook's curator insight,

Paradoxes are poems of science and philosophy that collectively allow us to address broad multidisciplinary issues within a microcosm. A true paradox is a source of creativity and a concise expression that delivers a profound idea and provokes a wild and endless imagination. The study of paradoxes leads to ultimate clarity and, at the same time, indisputably challenges your mind.

Paradoxes in Scientific Inference analyzes paradoxes from many different perspectives: statistics,mathematics, philosophy, science, artificial intelligence, and more. The book elaborates on findings and reaches new and exciting conclusions. It challenges your knowledge, intuition, and conventional wisdom, compelling you to adjust your way of thinking. Ultimately, you will learn effective scientific inference through studying the paradoxes.

Chapter 1. The Joy of Paradoxes: A Random Walk
Chapter 2. Mathematical and Plausible Reasoning
Chapter 3. Statistical Measures of Scientific Evidence
Chapter 4. Scientific Principles and Inferences
Chapter 5. Artificial Intelligence
Appendix A: Mathematical Notations