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136
posts in
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ms
Hypothesis
Testing
and Estimation with Standardized Standard Errors
📐
Mathematics
replicationindex.com
·
1d
1 day ago
Actions for Hypothesis Testing and Estimation with Standardized Standard Errors
Robust Prediction
Variance
Estimation for Gaussian Process
Regression
Under Covariance Smoothness Misspecification
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Robust Prediction Variance Estimation for Gaussian Process Regression Under Covariance Smoothness Misspecification
Kernel embeddings and the separation of measure phenomenon
⚙️
ML Engineering
pnas.org
·
10h
10 hours ago
Actions for Kernel embeddings and the separation of measure phenomenon
Bayesian
efficient coding as a
theory
of perception: progress, controversies, and prospects
⚙️
ML Engineering
cell.com
·
8h
8 hours ago
Actions for Bayesian efficient coding as a theory of perception: progress, controversies, and prospects
‘Low power’ and an all too standard error (continuation of “don’t turn power on its head”)
⚙️
ML Engineering
errorstatistics.com
·
2d
2 days ago
Actions for ‘Low power’ and an all too standard error (continuation of “don’t turn power on its head”)
Improving the Accuracy of Forensic Age Estimation Through Bias Reduction
⚙️
ML Engineering
Content type:
Academic
biorxiv.org
·
6d
6 days ago
Actions for Improving the Accuracy of Forensic Age Estimation Through Bias Reduction
Animal acoustic communication has a conserved optimal rhythm within the neural delta range
🔬
Science
journals.plos.org
·
17h
17 hours ago
Actions for Animal acoustic communication has a conserved optimal rhythm within the neural delta range
Hidden geometry explains why kernel methods separate complex data so well
📐
Mathematics
phys.org
·
2d
2 days ago
Actions for Hidden geometry explains why kernel methods separate complex data so well
Step-specific activation energies in hydrogen direct reduction of iron ore are identifiable from conversion data via
Bayesian
inference
⚙️
ML Engineering
Content type:
Academic
sciencedirect.com
·
3d
3 days ago
Actions for Step-specific activation energies in hydrogen direct reduction of iron ore are identifiable from conversion data via Bayesian inference
How To Not Be Wrong About AI
🤖
AI
third-bit.com
·
2d
2 days ago
Actions for How To Not Be Wrong About AI
Finer-Grained Fixed-Key Differential
Probability
Distributions
via Quasidifferential Decoupling
🤖
AI
eprint.iacr.org
·
6d
6 days ago
Actions for Finer-Grained Fixed-Key Differential Probability Distributions via Quasidifferential Decoupling
News for May 2026 | Property
Testing
Review
📐
Mathematics
ptreview.sublinear.info
·
2d
2 days ago
Actions for News for May 2026 | Property Testing Review
Visualizing Multivariate Data and Models in R
⚙️
ML Engineering
friendly.github.io
·
6d
6 days ago
Actions for Visualizing Multivariate Data and Models in R
Hyperpathway: visualizing organization of pathway-molecule enriched interactions in omics studies via hyperbolic bipartite network embedding
🔬
Science
Content type:
Academic
nature.com
·
1d
1 day ago
Actions for Hyperpathway: visualizing organization of pathway-molecule enriched interactions in omics studies via hyperbolic bipartite network embedding
Epidemiologist Donna Spiegelman sez: SUTVA is “mostly not necessary for valid causal estimation and
inference
most of the time”
📐
Mathematics
Content type:
Academic
statmodeling.stat.columbia.edu
·
6d
6 days ago
Actions for Epidemiologist Donna Spiegelman sez: SUTVA is “mostly not necessary for valid causal estimation and inference most of the time”
I replaced a language model with geometry: building a deterministic UI compiler that runs in your browser in 300ms
⚙️
ML Engineering
tryd2d.xyz
·
1d
1 day ago
·
DEV
Actions for I replaced a language model with geometry: building a deterministic UI compiler that runs in your browser in 300ms
Erratum: Critical
Probability
Distributions
of the Order Parameter from the Functional Renormalization Group [Phys. Rev. Lett. 129 , 210602 (2022)]
⚙️
ML Engineering
link.aps.org
·
6d
6 days ago
Actions for Erratum: Critical Probability Distributions of the Order Parameter from the Functional Renormalization Group [Phys. Rev. Lett. 129 , 210602 (2022)]
Beyond correlation to autonomous action: Why “good enough” observability fails in the age of agentic AI
🤖
AI
dynatrace.com
·
1d
1 day ago
Actions for Beyond correlation to autonomous action: Why “good enough” observability fails in the age of agentic AI
Making Recursive
Bayesian
Inference
Robust
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Making Recursive Bayesian Inference Robust
SLUUG Talk: Demystifying Large Language Models on Linux
🤖
AI
Content type:
Code
github.com
·
3d
3 days ago
·
DEV
Actions for SLUUG Talk: Demystifying Large Language Models on Linux
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