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Statistical Learning and Optimization

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Generalized linear model - Wikipedia
https://en.wikipedia.org/wiki/Generalized_linear_model
1 user Last: Jan 07, 2026
100% confidence
Exponential family - Wikipedia
https://en.wikipedia.org/wiki/Exponential_family
1 user Last: Jan 07, 2026
100% confidence
Geometric foundations of Deep Learning | by Michael Bronstein | Towards Data Science
https://towardsdatascience.com/geometric-foundations-of-deep-learning-94cdd45b45...
2 users Last: Jan 07, 2026
100% confidence
Kolmogorov's two-series theorem
https://en.wikipedia.org/wiki/Kolmogorov%27s_two-series_theorem
1 user Last: Jan 07, 2026
100% confidence
Tutorial on large deviation principles – Libres pensées d'un mathématicien ordinaire
https://djalil.chafai.net/blog/2018/03/09/tutorial-on-large-deviation-principles
1 user Last: Jan 07, 2026
100% confidence
Cumulants, and Cumulant Generating Functions
http://bactra.org/notebooks/cumulants.html
1 user Last: Jan 07, 2026
100% confidence
Chebyshev's inequality - Wikipedia
https://en.wikipedia.org/wiki/Chebyshev%27s_inequality
1 user Last: Jan 07, 2026
100% confidence
How can I estimate the standard error of transformed regression parameters in R using the delta method? | R FAQ
https://stats.oarc.ucla.edu/r/faq/how-can-i-estimate-the-standard-error-of-trans...
1 user Last: Jan 07, 2026
100% confidence
Common statistical tests are linear models (or: how to teach stats)
https://lindeloev.github.io/tests-as-linear
1 user Last: Jan 07, 2026
100% confidence
Degenerate distribution - Wikipedia
https://en.wikipedia.org/wiki/Degenerate_distribution
1 user Last: Jan 07, 2026
100% confidence
Propagation of Error - Chemistry LibreTexts
https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Supplemental_Module...
1 user Last: Jan 07, 2026
100% confidence
Large deviations theory - Wikipedia
https://en.wikipedia.org/wiki/Large_deviations_theory
1 user Last: Jan 07, 2026
100% confidence
The Moment Bound Is Tighter Than Chernoff's Bound for Positive Tail Probabilities
https://www.jstor.org/stable/pdf/2684633.pdf
1 user Last: Jan 07, 2026
100% confidence
Total variation distance of probability measures - Wikipedia
https://en.wikipedia.org/wiki/Total_variation_distance_of_probability_measures
1 user Last: Jan 07, 2026
100% confidence
Probability density function of the chi-squared distribution | The Book of Statistical Proofs
https://statproofbook.github.io/P/chi2-pdf.html
1 user Last: Jan 07, 2026
100% confidence
Berry–Esseen theorem - Wikipedia
https://en.wikipedia.org/wiki/Berry%E2%80%93Esseen_theorem
1 user Last: Jan 07, 2026
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Dvoretzky–Kiefer–Wolfowitz inequality - Wikipedia
https://en.wikipedia.org/wiki/Dvoretzky%E2%80%93Kiefer%E2%80%93Wolfowitz_inequal...
1 user Last: Jan 07, 2026
100% confidence
Central Limit Theorem(s)
http://bactra.org/notebooks/clt.html
1 user Last: Jan 07, 2026
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Chernoff bound - Wikipedia
https://en.wikipedia.org/wiki/Chernoff_bound
1 user Last: Jan 07, 2026
100% confidence
Yet Another Information Matrix
http://bactra.org/notebooks/yet-another-information-matrix.html
1 user Last: Jan 07, 2026
100% confidence
What is Logistic regression? | IBM
https://www.ibm.com/topics/logistic-regression
1 user Last: Jan 07, 2026
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Le Cam's theorem - Wikipedia
https://en.wikipedia.org/wiki/Le_Cam%27s_theorem
1 user Last: Jan 07, 2026
100% confidence
Asymptotic equipartition property
https://en.wikipedia.org/wiki/Asymptotic_equipartition_property
1 user Last: Jan 07, 2026
100% confidence
A Differential Equations View of the Gaussian Family
https://charlesfrye.github.io/stats/2017/11/22/gaussian-diff-eq.html
1 user Last: Jan 07, 2026
100% confidence
Zipf's law - Wikipedia
https://en.wikipedia.org/wiki/Zipf%27s_law
3 users Last: Jan 07, 2026
100% confidence
How to Transform Data to Better Fit The Normal Distribution - MachineLearningMastery.com
https://machinelearningmastery.com/how-to-transform-data-to-fit-the-normal-distr...
1 user Last: Jan 07, 2026
100% confidence
What's a good value for R-squared?
https://people.duke.edu/~rnau/rsquared.htm
1 user Last: Jan 07, 2026
100% confidence
Optional stopping theorem - Wikipedia
https://en.wikipedia.org/wiki/Optional_stopping_theorem
1 user Last: Jan 07, 2026
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Mill's Inequality - huisaddison/blog
http://huisaddison.com/blog/mills-inequality.html
1 user Last: Jan 07, 2026
100% confidence
Orthogonal/Double Machine Learning — econml 0.15.1 documentation
https://econml.azurewebsites.net/spec/estimation/dml.html
1 user Last: Jan 07, 2026
100% confidence
Standard error - Wikipedia
https://en.wikipedia.org/wiki/Standard_error
1 user Last: Jan 07, 2026
100% confidence
nonparametric - Bootstrap variance of squared sample mean - Cross Validated
https://stats.stackexchange.com/questions/26082/bootstrap-variance-of-squared-sa...
1 user Last: Jan 07, 2026
100% confidence
Sampling Normal from Uniform
https://chatgpt.com/c/679974d2-6acc-800e-8d49-381d3e3a9c3a
1 user Last: Jan 07, 2026
100% confidence
Probability Density Function | PDF | Distributions
https://www.probabilitycourse.com/chapter4/4_1_1_pdf.php
1 user Last: Jan 07, 2026
100% confidence
Fisher information
https://en.wikipedia.org/wiki/Fisher_information
1 user Last: Jan 07, 2026
100% confidence
Gumbel distribution
https://en.wikipedia.org/wiki/Gumbel_distribution
4 users Last: Jan 07, 2026
100% confidence
Chapter 8 Homework 2: Principles of Data Reduction: Problems and Solutions | STAT 205B: Classical Inference
https://bookdown.org/jkang37/stat205b-notes/hw02.html
1 user Last: Jan 07, 2026
100% confidence
Moment (mathematics)
https://en.wikipedia.org/wiki/Moment_(mathematics)
1 user Last: Jan 07, 2026
100% confidence
Inverse transform sampling
https://en.wikipedia.org/wiki/Inverse_transform_sampling
1 user Last: Jan 07, 2026
100% confidence
Characteristic function (probability theory)
https://en.wikipedia.org/wiki/Characteristic_function_(probability_theory)
1 user Last: Jan 07, 2026
100% confidence
Probabilistic Bounds — A Primer || Math ∩ Programming
https://www.jeremykun.com/2013/04/15/probabilistic-bounds-a-primer
1 user Last: Jan 07, 2026
100% confidence
Linear regression - Wikipedia
https://en.wikipedia.org/wiki/Linear_regression
1 user Last: Jan 07, 2026
100% confidence
Moment-generating function
https://en.wikipedia.org/wiki/Moment-generating_function
2 users Last: Jan 07, 2026
100% confidence
Kaplan–Meier_estimator?useskin=vector
https://en.wikipedia.org/wiki/Kaplan%E2%80%93Meier_estimator?useskin=vector
1 user Last: Jan 07, 2026
100% confidence
Lecture 4: Estimating Probabilities from data
https://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote04.html
1 user Last: Jan 07, 2026
100% confidence
Introduction to Bayesian Linear Regression | by Will Koehrsen | Towards Data Science
https://towardsdatascience.com/introduction-to-bayesian-linear-regression-e66e60...
2 users Last: Jan 07, 2026
100% confidence
Mixture distribution
https://en.wikipedia.org/wiki/Mixture_distribution
1 user Last: Jan 07, 2026
100% confidence
Skellam distribution - Wikipedia
https://en.wikipedia.org/wiki/Skellam_distribution
1 user Last: Jan 07, 2026
100% confidence
Birth–death process - Wikipedia
https://en.wikipedia.org/wiki/Birth%E2%80%93death_process
1 user Last: Jan 07, 2026
100% confidence
Pareto distribution - Wikiwand
https://www.wikiwand.com/en/Pareto_distribution
1 user Last: Jan 07, 2026
100% confidence
Emotional Well-being Insights 5,431 pages
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