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Results for geometry
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7 votes
1 answer
825 views

Information geometry tutorial

I would like to know more about the topic of information geometry, but i don't want to delve deeply into it. …
12 votes
2 answers
4k views

Algebraic Geometry for Statistics

I have heard about uses of Algebraic Geometry in Statistics and Machine Learning. I wanted to try to learn a bit about this topics. … I don't know nearly anything about Algebraic Geometry, but I have background in math, and I know about basic group theory, rings fields and some commutative algebra. …
4 votes
0 answers
161 views

Ay (2017) vs Amari (2016) for information geometry

I am interested in learning information geometry in detail with a focus on applications, and am currently considering two main texts: Amari (2016)'s "Information Geometry and Its Applications" and Ay et … al. (2017)'s "Information Geometry". …
7 votes
0 answers
291 views

Reference Request: Information Geometry for Ridge Regression

Question: I am eager to read empirical type papers where these information geometry techniques are used to compare ridge regressors on real data. Does anyone know of any such papers? … Note: A question has already been asked about the usefulness of informational geometry. Using information geometry to define distances and volumes…useful? …
Baz's user avatar
  • 1,783
4 votes
2 answers
352 views

Connection between LASSO regression and Taxicab Geometry

The following is written on the Wikipedia entry of Taxicab Geometry: The [taxicab] geometry has been used in regression analysis since the 18th century, and is often referred to as LASSO. …
Abced Decba's user avatar
24 votes
3 answers
12k views

Does differential geometry have anything to do with statistics?

I am doing master in statistics and I am advised to learn differential geometry. … Does anyone happen to know applications for differential geometry in statistics? …
LaTeXFan's user avatar
  • 1,304
9 votes
1 answer
3k views

What is the most beginner-friendly book for information geometry?

The book: Amari and Nagaoka, Methods of Information Geometry, is often mentioned as a reference for information geometry. … Murray, Differential Geometry and Statistics. …
Chill2Macht's user avatar
  • 6,479
1 vote
0 answers
139 views

How to learn information geometry from a statistical background [closed]

I have started learning information geometry from the book Differential geometry and Statistics by M.K.murray and J.W. Rice.But I am facing huge difficulties in understanding mathematics behind it. …
Avishek Dutta's user avatar
3 votes
0 answers
58 views

Examples of Problems in Statistics Accessible only Using Information Geometry

I am just curious if there are some examples of problems in statistics that is indeed accessible using information geometry while proofs completely avoiding geometry is unknown. … In other words, problems solved by considering the statistical model $\mathcal{P}$ in the problem as a statistical manifold and then using results in differential geometry while proofs not really using …
温泽海's user avatar
  • 639
4 votes
1 answer
377 views

Regression coefficient on a triangle using geometry

My question is: how to compute $\beta_1$ based on geometry? If we draw the graph, we could see that we are doing a right-top triangle within the unit square $[0,1] \times [0,1]$. …
mathdoge's user avatar
  • 143
11 votes
1 answer
488 views

Clarification in information geometry

This question is concerned with the paper Differential Geometry of Curved Exponential Families-Curvatures and Information Loss by Amari. The text goes as follows. …
Ashok's user avatar
  • 1,181
0 votes
1 answer
71 views

Question about Geometry of statistical model

I am reading "Methods of information geometry by Shun-ichi Amari" and I got the following doubt Let $X$ be a finite set and $P(X)=\{p:X\to\mathbb{R}/p(x)>0 \forall x\in X,\int p(x)dx=1\}$ which in turn …
Andyale's user avatar
  • 133
5 votes
3 answers
649 views

References for use of symplectic geometry in statistics?

I have heard that many problems in Mathematical Statistics can be stated and solved in terms of Symplectic Geometry. …
adhalanay's user avatar
  • 153
1 vote
3 answers
329 views

Algorithm for generating a Poisson process on a complicated 2d geometry

Given a $\lambda$ parameter for a county, I need to simulate a Poisson realization of events on that county geometry. … However if I have an irregular geometry, then the algorithm will generate points outside of the boundaries of a county. …
krishnab's user avatar
  • 1,582
4 votes
0 answers
80 views

Intuition/meaning of information geometry distances and geodesics?

In information geometry, we consider a manifold of probability distributions, together with the Fisher Information metric (given by the Fisher Information matrix). …
dherrera's user avatar
  • 1,405

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