Results 151 to 160 of about 333,475 (312)
Bayesian nonparametric statistics, St-Flour lecture notes [PDF]
Ismaël Castillo
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Nonparametric Inferences on Conditional Quantile Processes [PDF]
This paper is concerned with tests of restrictions on the sample path of conditional quantile processes. These tests are tantamount to assessments of lack of fit for models of conditional quantile functions or more generally as tests of how certain ...
Chuan Goh
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OPTRACE: Optical Imaging–Guided Transplantation and Tracking of Cells in the Mouse Brain
OPTRACE establishes an optical, two‐step platform for intracerebral cell therapy. Transparent glass pipettes enable real‐time, image‐guided delivery, while multiplex genetic labeling with two‐photon and bioluminescence readouts supports longitudinal single‐cell tracking and host–graft dynamics.
Jinghui Wang +10 more
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CNPS: Nonparametric Statistics [PDF]
JiaSheng Zhang [aut,cre] (
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HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang +9 more
wiley +1 more source
Inferential, Nonparametric Statistics to Assess the Quality of Probabilistic Forecast Systems [PDF]
Alinede H. N. Maia +3 more
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The Microbiota Shapes Central Nervous System Myelination in Early Life
Gut microbiota shapes brain development by regulating myelination and glial cell maturation in early life. Using germ‐free (GF) mice and zebrafish, this study reveals sex‐ and age‐dependent effects on myelin growth, integrity, and related gene expression.
Caoimhe M. K. Lynch +13 more
wiley +1 more source
Descriptive Statistics for Nonparametric Models. III. Dispersion [PDF]
Peter J. Bickel, E. L. Lehmann
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Nonparametric tests based on area-statistics [PDF]
Area statistics are sample versions of areas occuring in a probability plot of two distribution functions F and G. This paper gives a unified basis for five statistics of this type.
Kraft, Stefan, Schmid, Friedrich
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