Results 91 to 100 of about 719,228 (391)

Key Connectomes and Synaptic‐Compartment‐Specific Risk Genes Drive Pathological α‐Synuclein Spreading

Advanced Science, EarlyView.
Utilizing a stereotaxic injection mouse model and a novel mathematical approach, this study uncovers key subnetworks that drive pathological α‐synuclein (α‐Syn) progression in Parkinson's disease (PD). Remarkably, just 2% of the strongest connections in the connectome are sufficient to predict its spread.
Yuanxi Li, Justin Torok, Shujing Zhang, Jessica Ding, Ning Wang, Courtney Lau, Shruti Kulkarni, Chaitali Anand, Julie Tran, Michael Cheng, Claire Lo, Binbin Lu, Yanzi Sun, Robert Damoiseaux, Xia Yang, Ashish Raj, Chao Peng   +16 more
wiley   +1 more source

How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated

Frontiers in Psychology, 2018
The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek, Octavia Wong, Augustine C. M. Wong, Augustine C. M. Wong   +3 more
doaj   +1 more source

Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation‐based methods

Health Science Reports, 2023
Background and Aims All fields have seen an increase in machine‐learning techniques. To accurately evaluate the efficacy of novel modeling methods, it is necessary to conduct a critical evaluation of the utilized model metrics, such as sensitivity ...
Alexander A. Huang, Samuel Y. Huang
doaj   +1 more source

Bootstrap, Wild Bootstrap and Generalized Bootstrap

, 1995
Some modifications and generalizations of the bootstrap procedurehave been proposed. In this note we will consider the wild bootstrap and the generalized bootstrap and we will give two arguments why it makes sense touse these modifications instead of the original bootstrap.
openaire   +2 more sources

Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap [PDF]

Computational Statistics & Data Analysis, 2005
In regression models, appropriate bootstrap methods for inference robust to heteroskedasticity of unknown form are the wild bootstrap and the pairs bootstrap. The finite sample performance of a heteroskedastic-robust test is investigated with Monte Carlo experiments.
openaire   +5 more sources

De Novo Reconstruction of 3D Human Facial Images from DNA Sequence

Advanced Science, EarlyView.
This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao, Jiarui Li, Bingxu Zhong, Siyuan Du, Shuning Li, Manfei Zhang, Qibin Zhang, Zhongming Liang, Fan Liu, Chunman Zuo, Sijia Wang, Luonan Chen   +11 more
wiley   +1 more source

Amelia II: A Program for Missing Data

Journal of Statistical Software, 2011
Amelia II is a complete R package for multiple imputation of missing data. The package implements a new expectation-maximization with bootstrapping algorithm that works faster, with larger numbers of variables, and is far easier to use, than various ...
James Honaker, Gary King, Matthew Blackwell   +2 more
doaj  

Reliability analysis for a large and complex landslide in the three gorges reservoir area (China) based on incomplete information

Geomatics, Natural Hazards & Risk, 2019
The soil parameters for large, complex landslides are typically derived from incomplete information based on a small sample set due to budgetary constraints.
Junwei Ma, Aijun Su, Junrong Zhang, Tao Wen, Yankun Wang   +4 more
doaj   +1 more source

Bootstrap confidence intervals

, 1996
This article surveys bootstrap methods for producing good approximate confidence intervals. The goal is to improve by an order of magnitude upon the accuracy of the standard intervals 0 ?
T. DiCiccio, B. Efron
semanticscholar   +1 more source

The determinants of bootstrap financing in crises: evidence from entrepreneurial ventures in the COVID-19 pandemic

Small Business Economics, 2020
Bootstrap financing refers to measures that entrepreneurial ventures undertake to preserve liquidity (e.g., reducing expenses, collecting receivables, delaying payments, preselling).
J. Block, Christian Fisch, Mirko Hirschmann   +2 more
semanticscholar   +1 more source