Frontiers

Statistical inference for dependence networks in topological data analysis

1 Statistics Program, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, ...
PNAS

Cross-prediction-powered inference

Machine learning is increasingly used as an efficient substitute for traditional data collection when the latter is challenging. For example, predictions of conditions such as poverty, deforestation, ...
IEEE

Distributed Semi-Supervised Sparse Statistical Inference

Abstract: The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional ...
science.psu

PDA: Privacy-preserving Distributed Algorithms and statistical inference in the era of real ...

Abstract: With the increasing availability of electronic health records (EHR) data, it is important to effectively integrate evidence from multiple data sources to enable reproducible scientific ...
C&EN

Statistical Inference of Rate Constants in Chemical and Biochemical Reaction Networks Using ...

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IEEE

Tensor Graphical Model: Non-Convex Optimization and Statistical Inference

Abstract: We consider the estimation and inference of graphical models that characterize the dependency structure of high-dimensional tensor-valued data. To facilitate the estimation of the precision ...
IFLScience

For First Time, Crows Have Been Found To Use Statistical Inference To Make Decisions

Eleanor has an undergraduate degree in zoology from the University of Reading and a master’s in wildlife documentary production from the University of Salford.View full profile Eleanor has an ...