ERD

Crime in Philadelphia: Bayesian Clustering with Particle Optimization

Project: NBEB-SSP

Updated at: 26-07-2024

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Project acronym NBEB-SSP

A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering

Project: NBEB-SSP

Updated at: 26-07-2024

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Project acronym NBEB-SSP

Learning-augmented count-min sketches via Bayesian nonparametrics

Project: NBEB-SSP

Updated at: 26-07-2024

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Project acronym NBEB-SSP

Near-optimal estimation of the unseen under regularly varying tail populations

Project: NBEB-SSP

Updated at: 26-07-2024

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Project acronym NBEB-SSP

Lipschitz continuity of probability kernels in the optimal transport framework

Project: NBEB-SSP

Updated at: 26-07-2024

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Project acronym NBEB-SSP

Conformal frequency estimation using discrete sketched data with coverage for distinct queries

Project: NBEB-SSP

Updated at: 17-07-2024

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Project acronym NBEB-SSP

Consistent estimation of small masses in feature sampling

Project: NBEB-SSP

Updated at: 31-05-2024

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Project acronym NBEB-SSP

Doubly infinite residual neural networks: a diffusion process approach

Project: NBEB-SSP

Updated at: 31-05-2024

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Project acronym NBEB-SSP

A Berry–Esseen theorem for Pitman’s $\alpha $-diversity

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Perfect Sampling of the Posterior in the Hierarchical Pitman–Yor Process

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

On uniform continuity of posterior distributions

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Large-width functional asymptotics for deep Gaussian neural networks

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Strong posterior contraction rates via Wasserstein dynamics

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Optimal disclosure risk assessment

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

An information theoretic approach to post randomization methods under differential privacy

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Deep stable neural networks: Large-width asymptotics and convergence rates

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Rates of convergence in de Finetti’s representation theorem, and Hausdorff moment problem

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Stable behaviour of infinitely wide deep neural networks

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Asymptotic Efficiency of Point Estimators in Bayesian Predictive Inference

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Infinitely deep neural networks as diffusion processes

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Approximating Predictive Probabilities of Gibbs-Type Priors

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Periodic Reporting for period 3 - NBEB-SSP (Nonparametric Bayes and empirical Bayes for species sampling problems: class...

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

A Good-Turing estimator for feature allocation models

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

On consistent and rate optimal estimation of the missing mass

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Upscaling human activity data: A statistical ecology approach

Project: NBEB-SSP

Updated at: 27-04-2024

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Project acronym NBEB-SSP

Resources

Selected filters:

Crime in Philadelphia: Bayesian Clustering with Particle Optimization

A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering

Learning-augmented count-min sketches via Bayesian nonparametrics

Near-optimal estimation of the unseen under regularly varying tail populations

Lipschitz continuity of probability kernels in the optimal transport framework

Conformal frequency estimation using discrete sketched data with coverage for distinct queries

Consistent estimation of small masses in feature sampling

Doubly infinite residual neural networks: a diffusion process approach

A Berry–Esseen theorem for Pitman’s $\alpha $-diversity

Perfect Sampling of the Posterior in the Hierarchical Pitman–Yor Process

More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics

On uniform continuity of posterior distributions

A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data

Large-width functional asymptotics for deep Gaussian neural networks

Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation

Strong posterior contraction rates via Wasserstein dynamics

Optimal disclosure risk assessment

An information theoretic approach to post randomization methods under differential privacy

Deep stable neural networks: Large-width asymptotics and convergence rates

Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis

Rates of convergence in de Finetti’s representation theorem, and Hausdorff moment problem

A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data

Stable behaviour of infinitely wide deep neural networks

Asymptotic Efficiency of Point Estimators in Bayesian Predictive Inference

Infinitely deep neural networks as diffusion processes

Approximating Predictive Probabilities of Gibbs-Type Priors

Periodic Reporting for period 3 - NBEB-SSP (Nonparametric Bayes and empirical Bayes for species sampling problems: class...

A Good-Turing estimator for feature allocation models

On consistent and rate optimal estimation of the missing mass

Upscaling human activity data: A statistical ecology approach