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Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Arxiv
0+阅读 · 4月1日
Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations
Arxiv
0+阅读 · 3月31日
Using directed acyclic graphs to determine whether multiple imputation or subsample multiple imputation estimates of an exposure-outcome association are unbiased
Arxiv
0+阅读 · 3月31日
Proxy Tracing: Unbiased Reciprocal Estimation for Optimized Sampling in BDPT
Arxiv
0+阅读 · 3月30日
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
Arxiv
0+阅读 · 3月29日
On Bessel's Correction -- Unbiased Sample Variance, the 'Bariance' and Runtime-Optimized Unbiased Sample Variance Estimators
Arxiv
0+阅读 · 3月28日
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
Arxiv
0+阅读 · 3月5日
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
Arxiv
0+阅读 · 3月19日
Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns?
Arxiv
0+阅读 · 3月13日
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Arxiv
0+阅读 · 3月14日
Estimating the Complier Average Causal Effect in Randomised Controlled Trials with Non-Compliance: A Comparative Simulation Study of the Instrumental Variables and Per-Protocol Analyses
Arxiv
0+阅读 · 3月22日
Bias in Gini coefficient estimation for gamma mixture populations
Arxiv
0+阅读 · 3月4日
Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo
Arxiv
0+阅读 · 3月3日
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Arxiv
0+阅读 · 3月18日
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Arxiv
0+阅读 · 3月12日
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