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Statistics
📊 Statistics
Broad
Probability, Inference, Bayesian, Distributions
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138
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🕸️
Graph Theory
bionewsdigest.medium.com
·
2d
2 days ago
Reviewing
P-value
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Actions for Reviewing P-value
🔬
Science
arxiv.org
·
3d
3 days ago
Statistical
Inference
in Large Multi-way Networks
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Actions for Statistical Inference in Large Multi-way Networks
🏆
DFS
kolistat.com
·
21h
21 hours ago
Statistics
that live in your SQL
Discussed on
Hacker News
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Actions for Statistics that live in your SQL
🔢
Math
medium.com
·
4d
4 days ago
Math for Machine Learning: Series 3 —
Probability
&
Statistics
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Actions for Math for Machine Learning: Series 3 — Probability & Statistics
🧩
Psychology
r-bloggers.com
·
5d
5 days ago
How I Used One-Way ANOVA in R to Analyze Crop Yield Data for a PhD Student (Real Case Study)
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Actions for How I Used One-Way ANOVA in R to Analyze Crop Yield Data for a PhD Student (Real Case Study)
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Science
journals.plos.org
·
4d
4 days ago
Levels of additive genetic variation
vary
substantially between species
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Actions for Levels of additive genetic variation vary substantially between species
🤖
Machine Learning
arxiv.org
·
6d
6 days ago
Robustified Gaussian
quasi-likelihood
inference
for volatility
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Actions for Robustified Gaussian quasi-likelihood inference for volatility
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Math
arxiv.org
·
5d
5 days ago
Improving Linear
Regression
on Small Datasets via Gaussian Process and Extreme
Value
Theory-Based
Data Augmentation
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Actions for Improving Linear Regression on Small Datasets via Gaussian Process and Extreme Value Theory-Based Data Augmentation
⚛️
Physics
arxiv.org
·
5d
5 days ago
Stochastic
Thermodynamics of Score Matching in Diffusion Models
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Actions for Stochastic Thermodynamics of Score Matching in Diffusion Models
⚛️
Physics
arxiv.org
·
6d
6 days ago
A Kuramoto-von Mises Time Series Model for
Probabilistic
Modeling of Coupled Oscillators
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Actions for A Kuramoto-von Mises Time Series Model for Probabilistic Modeling of Coupled Oscillators
🔢
Math
arxiv.org
·
5d
5 days ago
A Polyak-Ruppert
Central
Limit
Theorem
for SA-Adam with Momentum and Non-Convergent Adaptive Preconditioning
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Actions for A Polyak-Ruppert Central Limit Theorem for SA-Adam with Momentum and Non-Convergent Adaptive Preconditioning
💻
Computer Science
arxiv.org
·
5d
5 days ago
Fractional Programming for Kullback-Leibler Divergence in
Hypothesis
Testing
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Actions for Fractional Programming for Kullback-Leibler Divergence in Hypothesis Testing
🔢
Math
arxiv.org
·
3d
3 days ago
The weak-feature-impact effect on the NPMLE in monotone binary
regression
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Actions for The weak-feature-impact effect on the NPMLE in monotone binary regression
🤖
Machine Learning
arxiv.org
·
6d
6 days ago
Stop
the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
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Actions for Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
🧠
Neuroscience
arxiv.org
·
3d
3 days ago
Calibration without labels in multiple
testing
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Actions for Calibration without labels in multiple testing
🤖
AI
arxiv.org
·
3d
3 days ago
Exposing the Unsaid: Visualizing Hidden LLM Bias through
Stochastic
Path Aggregation
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Actions for Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation
🧬
Computational Biology
arxiv.org
·
4d
4 days ago
Parametric
inference
for the discretely observed multivariate Hawkes process using particle
Markov
Chain
Monte Carlo
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Actions for Parametric inference for the discretely observed multivariate Hawkes process using particle Markov Chain Monte Carlo
💻
Computer Science
arxiv.org
·
6d
6 days ago
Typed Component Algebras for Simulated Annealing and
Markov-Chain
Monte
Carlo
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Actions for Typed Component Algebras for Simulated Annealing and Markov-Chain Monte Carlo
🗂️
Data Structures
arxiv.org
·
6d
6 days ago
On the estimation of the median odds ratio for measuring contextual effects in multilevel binary data from complex survey designs
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Actions for On the estimation of the median odds ratio for measuring contextual effects in multilevel binary data from complex survey designs
⚛️
Physics
arxiv.org
·
4d
4 days ago
Practical and Scalable Hamiltonian
Monte
Carlo
Without the Metropolis
Test
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Actions for Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test
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