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Statistics
📊 Statistics
statistics, probability, data analysis, quantitative reasoning
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Sequential
statistical
inference
for Large Language Models: Representation, validity, and monitoring
🧠
LLMs
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Sequential statistical inference for Large Language Models: Representation, validity, and monitoring
Sort, Partition, Randomize: Optimal Binary
Hypothesis
Testing
under Local Differential Privacy
🔑
Cryptography
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Sort, Partition, Randomize: Optimal Binary Hypothesis Testing under Local Differential Privacy
Bentkus-type asymptotic
e-values
🧠
LLMs
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Bentkus-type asymptotic e-values
Uniform central limit
theorems
for non-stationary processes via relative weak convergence
🧠
Core ML
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Uniform central limit theorems for non-stationary processes via relative weak convergence
Statistical
hypothesis
testing
for differences between layers in dynamic multiplex networks
🧠
LLMs
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Statistical hypothesis testing for differences between layers in dynamic multiplex networks
Bootstrap-based
Hypothesis
Test
of 2D Contours using Elastic Shape
Analysis
🧠
Core ML
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Bootstrap-based Hypothesis Test of 2D Contours using Elastic Shape Analysis
Tests
for Independence of High-Dimensional Nonstationary Time Series
🧠
LLMs
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Tests for Independence of High-Dimensional Nonstationary Time Series
Multiple
Quantum
Hypothesis
Testing
: One-Shot Pairwise Bounds and Sharp Asymptotics
λ
PLT
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Multiple Quantum Hypothesis Testing: One-Shot Pairwise Bounds and Sharp Asymptotics
Differential privacy
statistical
inference
for a directed graph network model with covariates
🕵️
Privacy
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Differential privacy statistical inference for a directed graph network model with covariates
On prediction-powered
inference
for
quantile
regression
via convolution smoothing
🧠
Core ML
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for On prediction-powered inference for quantile regression via convolution smoothing
A 65 nm Multi-Modal
Bayesian
Inference
Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening
🕵️
Privacy
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for A 65 nm Multi-Modal Bayesian Inference Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening
Vector Space of Cycles
λ
PLT
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Vector Space of Cycles
Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems
🧠
Core ML
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems
Structure-Preserving Correction Learning for Sparse
Bayesian
Inference
in Brain Source Imaging
🧠
Core ML
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
Identifiability and
Inference
for Generalized Latent Factor Models
🧠
LLMs
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Identifiability and Inference for Generalized Latent Factor Models
Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic
Regression
🧠
Core ML
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression
AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary
Data
Streams with Koopman Operator
Regression
🧠
Core ML
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression
Covariance-Adaptive Residualization and Stagewise Calibration for Dependent Multiple
Testing
🧠
Core ML
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Covariance-Adaptive Residualization and Stagewise Calibration for Dependent Multiple Testing
Biweighted Poisson Subsampling for Convoluted Rank
Regression
with Massive
Data
🧠
Core ML
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Biweighted Poisson Subsampling for Convoluted Rank Regression with Massive Data
Local increment
inference
for time-inhomogeneous drift in Gaussian processes
🧠
Core ML
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Local increment inference for time-inhomogeneous drift in Gaussian processes
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