dobriban/stat-ml-edu dobriban/stat-ml-edu

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Repository Details

Resources for education in statistics and machine learning: from advanced undergraduate to research level

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1

Topics-In-Modern-Statistical-Learning

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
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Topics-in-deep-learning

Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
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3

spatial-data-with-r

Materials for my lecture on Spatial Data Analysis with R
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4

EigenEdge

Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type
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5

DPA

Deterministic Parallel Analysis
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6

high-dim-risk-experiments

Experiments with high-dimensional predictive risk
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7

data_aug

Experiments in data augmentation paper
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8

Talks

Slides from my talks
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9

Dist

Distributed linear regression
MATLAB
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10

PA

Permutation methods for factor analysis and PCA
MATLAB
3
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11

pweight

P-value Weighting R Package
R
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12

dist_ridge

Distributed ridge
MATLAB
3
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13

pvalue_weighting_matlab

Pvalue Weighting Package for Matlab
MATLAB
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14

stat-431-project

Stat 431 final project - Stats for covid-19
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15

Hadamard

Robust Inference Under Heteroskedasticity via the Hadamard Estimator
MATLAB
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16

pca

resources related to pca
1
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17

ideal-working-group

Working group for IDEAL special semester on the foundations of deep learning
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18

diagonally_reduced

Experiments from the paper "PCA from noisy, linearly reduced data: the diagonal case"
MATLAB
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