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Alireza Modirshanechi
Alireza Modirshanechi

53 Followers

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Published in Towards Data Science

·Pinned

What can we learn from posterior distributions?

A frequentist interpretation of Bayesian posterior — Assume we have observed N independent and identically distributed (iid) samples X = (x1, … , xN) from an unknown distribution q. A typical question in statistics is “what does the set of samples X tell us about the distribution q?”. Parametric statistical methods assume that q belongs to a…

Bayesian Statistics

10 min read

What can we learn from posterior distributions?
What can we learn from posterior distributions?
Bayesian Statistics

10 min read


Published in Towards Data Science

·Mar 20, 2021

What does the h-index tell us that we could not know without it?

A theoretical and empirical investigation of the additional information the h-index contains and cannot be found in the total number of citations — To compare researchers with each other¹, we need to have a measure that can represent how influential and successful they have been by a single number. One way to do so is to look at how many times their articles have been cited and count their total number of citations…

Statistics

8 min read

What does the h-index tell us that we could not know without it?
What does the h-index tell us that we could not know without it?
Statistics

8 min read


Published in The Startup

·Dec 29, 2020

What if everything was about reward prediction error?

A note on how our lives would look like if we could perceive joy only by our errors in predicting rewards. — WARNING: This article is not supposed to be scientifically precise. Rather, it is a playful discussion about an imaginary scenario inspired by scientific findings Dopamine, enjoyment, and reward prediction error It is generally believed that dopamine is what makes us feel happy and pleased, and there is scientific evidence for the release of dopamine at the…

Dopamine

7 min read

What If Everything Was About Reward Prediction Error?
What If Everything Was About Reward Prediction Error?
Dopamine

7 min read


Published in Towards Data Science

·Jul 18, 2020

Why does the optimal policy exist?

A proof of the existence of the optimal policy for finite MDPs — In a finite Markov Decision Process (MDP), the optimal policy is defined as a policy that maximizes the value of all states at the same time¹. In other words, if an optimal policy exists, then the policy that maximizes the value of state s is the same as the policy…

Reinforcement Learning

8 min read

Why does the optimal policy exist?
Why does the optimal policy exist?
Reinforcement Learning

8 min read


Published in Towards Data Science

·Jun 3, 2020

Lady tasting tea: A Bayesian approach

An introduction to and a comparison between Bayesian and frequentist methods for hypothesis testing — A lady claims that she can find out whether tea or milk is added first to a cup of milk tea, only by tasting it. How can we evaluate her claim? …

Hypothesis Testing

8 min read

Lady tasting tea: A Bayesian approach
Lady tasting tea: A Bayesian approach
Hypothesis Testing

8 min read


Published in The Startup

·May 10, 2020

Is correlation distance a metric?

In the absence of a distance, “close” and “far” are meaningless. To define these notions over a set of abstract mathematical objects, we need to be able to measure the distance between each pair of them. …

Correlation

4 min read

Is correlation distance a metric?
Is correlation distance a metric?
Correlation

4 min read


Published in Towards Data Science

·May 2, 2020

A misinterpretation of correlations

What do we know about the correlation of two random variables given their correlations with a 3rd one? — “X₂ and X₃ both increase when X₁ increases”; if there is a deterministic relation between these variables, then such a statement logically implies that “X₂ increases also when X₃ increases”. …

Statistics

4 min read

A misinterpretation of correlations
A misinterpretation of correlations
Statistics

4 min read

Alireza Modirshanechi

Alireza Modirshanechi

53 Followers

CS PhD student in the Laboratory of Computational Neuroscience at EPFL || Personal website: https://sites.google.com/view/modirsha

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