№ files_lp_4_process_2_75693
File format: docx
Character count: 1246
File size: 14 KB
The document describes a Bayesian mixture model applied to juvenile O. Mykiss length data, detailing the use of JAGS and R software for model fitting and parameter checks, focusing on year and tributary differences in length at age.
Year:
2020
Region / city:
N/A
Topic:
Statistical Modeling
Document Type:
Research Supplement
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers in Statistical Modeling and Fisheries Science
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Methodology:
Bayesian Mixture Model
Modeling Software:
JAGS, R
Code:
Provided
Note:
Context
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2026
Region / City:
Warrington, United Kingdom / Tokyo, Japan
Topic:
Radioactive Waste Management, Bayesian Statistics, Waste Classification
Document Type:
Research Paper
Institution:
National Nuclear Laboratory, Japan Atomic Energy Agency
Author:
P. Hiller, C. Pyke, K. Yoshikazu, O. Keiichi
Target Audience:
Researchers, Nuclear Industry Professionals
Period of Validity:
Ongoing
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / City:
East Lansing, Michigan
Subject:
Nuclear Physics, Bayesian Methods
Document Type:
Research Paper
Organization / Institution:
Facility for Rare Isotope Beams, Michigan State University, Department of Physics and Astronomy, Michigan State University
Authors:
Knight, Bailey, Lalit, Sudhanva, Godbey, Kyle, Giuliani, Pablo, Nazarewicz, Witold
Target Audience:
Nuclear physicists, researchers in astrophysics
Period of Effectiveness:
N/A
Approval Date:
N/A
Modification Date:
N/A
Contextual Description:
A research paper exploring the use of heteroscedastic uncertainties in Bayesian nuclear model combination, aiming to enhance predictive performance in nuclear physics models.
Year:
2023
Region / City:
N/A
Topic:
Drug repurposing, machine learning models
Document Type:
Research article
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers, Data Scientists
Effective Period:
N/A
Approval Date:
N/A
Modification Date:
N/A
Description of Document:
A research article comparing the performance of different machine learning models in predicting drug-disease approval likelihood using various optimization techniques and cross-validation methods.
Year:
2026
Region / City:
Not specified
Topic:
Lung cancer morphology and survival analysis
Document Type:
Research Supplement
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, oncologists
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2022
Author:
Dr. James Theimer
Organization:
Homeland Security Community of Best Practices
Distribution:
Approved for public release; distribution unlimited
Contract:
FA8075-18-D-0002, Task FA8075-21-F-0074
Location:
Wright-Patterson Air Force Base, Ohio, USA
Version:
1, FY22
Keywords:
Bayesian statistics, Model checking, Model assessment
Case Number:
88ABW-2022-0916
Publication Date:
30 November 2022
Intended Audience:
DHS workforce, program managers, T&E practitioners
Content Type:
Technical report
Method:
Box model-checking criterion
Year:
2021
Region / City:
Visakhapatnam, India
Topic:
Channel Estimation, Massive MIMO, Pilot Contamination
Document Type:
Research Paper
Organization / Institution:
Sanketika Vidya Parishad Engineering College
Author(s):
M. Keerthi, T. Ravi Babu, Manas Ranjan Biswal
Target Audience:
Researchers, Engineers, Academics in Communications
Period of Effectiveness:
Ongoing
Date of Approval:
Not specified
Date of Changes:
Not specified
Year:
2015
Region / City:
N/A
Subject:
Bayesian Model Averaging, Structural Equation Modeling
Document Type:
Package Documentation
Organization / Institution:
N/A
Author:
Chansoon Lee, David Kaplan
Target Audience:
Researchers, Data Scientists, Statisticians
Validity Period:
N/A
Approval Date:
N/A
Date of Changes:
N/A
URL:
http://bise.wceruw.org/publications.html
References:
Kaplan, D., Lee, C. (2015). Bayesian Model Averaging Over Directed Acyclic Graphs With Implications for the Predictive Performance of Structural Equation Models. Structural Equation Modeling.
Description:
Bayesian Model Averaging (BMA) applied to Structural Equation Modeling, expanding upon previous work by Madigan et al. and Raftery et al. with a focus on directed acyclic graphs.
Year:
2023
Region / City:
Suzhou, China
Topic:
Kawasaki Disease, Retreatment Strategies
Document Type:
Research Study
Authors:
Jiyu Li, Xichen Zhong, Ye Chen, Yunjia Tang, Qiuqin Xu, Guanghui Qian, Ying Liu, Shuhui Wang, Haitao Lv, Xuan Li
Target Audience:
Researchers, Healthcare Professionals, Cardiologists
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2026
Region:
International
Subject:
Bayesian statistical modeling, age estimation
Document type:
Code repository / Technical documentation
Institution:
Independent research compilation
Author:
Not specified
Intended audience:
Statisticians, data analysts, demographers
Programming language:
R
Number of functions:
6
Methods included:
GompertzFit, Survivorship, TA, HPDR, MHPDRCI, MHPDRMR
Data requirements:
Age-at-death datasets, age indicator datasets
Dependencies:
survival, optimx, VGAM, nleqslv R packages
License:
Not specified
Year:
2023
Region / City:
Smithville, MO, USA
Topic:
Chemical Safety, Product Identification, Hazard Classification
Document Type:
Safety Data Sheet
Organization / Institution:
Thornell Corporation
Author:
Thornell Corporation
Target Audience:
General public, workers handling chemical products
Effective Period:
Not specified
Approval Date:
Not specified
Revision Date:
Not specified
Note:
Year
Year:
Not specified
Species:
Sprague Dawley rats
Exposure period:
GD14–18
Substances tested:
18-chemical anti-androgen mixture
Sample size:
Number of fetuses and litters per group reported
Endpoints measured:
Testosterone production, anogenital distance, nipple retention, puberty onset, reproductive organ weights, malformations, gene expression
Gene analysis:
Custom fetal rat testis gene expression array at GD18
Study type:
Experimental in vivo toxicology study
Year:
2022
Subject:
Machine Learning, Ensemble Methods, Unsupervised Learning
Document Type:
Educational Unit / Lecture Notes
Author:
Not specified
Target Audience:
Students and researchers in machine learning
Techniques Covered:
Model combination, Voting schemes, Bagging, Boosting, Stacking, K-means clustering, K-nearest neighbors, Gaussian mixture models, Expectation maximization
Scope:
Theoretical explanation of ensemble learning and unsupervised methods, including algorithm generation and combination strategies
Year:
2022
Region / City:
Kansas
Theme:
Construction and Transportation
Document Type:
Invitation for Bid
Organization / Institution:
Kansas Department of Transportation (KDOT)
Author:
Kansas Department of Transportation
Target Audience:
Contractors
Period of Effect:
April 1, 2022 – March 31, 2023
Approval Date:
N/A
Amendment Date:
N/A
Contractor(s):
APAC Kansas, Inc., Venture Corporation, Pearson Materials LLC, Hall Brothers, Inc., Whitaker Aggregates Inc., Heft & Sons, LLC
Description:
Invitation for Bid for Plant Mix Bituminous Mixture-Commercial Grade Hot Mix, Cold Lay for the Kansas Department of Transportation.
Year:
2023
Region / City:
Akosombo, Eastern Region, Ghana
Type of Document:
Original Research Article
Institution:
Aquaculture Research and Development Centre (ARDEC), Water Research Institute (WRI), Council for Scientific and Industrial Research (CSIR)
Species Studied:
Nile tilapia (Oreochromis niloticus), African catfish (Clarias gariepinus)
Experimental Duration:
77 days
Feed Types:
Commercial tilapia feed, commercial catfish feed, 1:1 mixture
Key Variables:
Growth performance, cost-effectiveness, profit index
Methodology:
Hapa-in-pond system, manual feeding 3 times daily
Target Audience:
Fish farmers, aquaculture researchers
Experimental Design:
Three treatments (A: tilapia feed, B: catfish feed, C: feed mixture)
Start Date:
July 2023
End Date:
September 2023
Context:
Peer-reviewed aquaculture study evaluating the growth and economic efficiency of mixed-species fingerling rearing using different commercial feed strategies in a pond-based experimental system.
Note:
Year
Topic:
Asphalt Mixture Design
Document Type:
Technical Specification
Target Audience:
Contractors, Engineers
An unexploited dimension: new software for mixture analysis by 3D diffusion-ordered NMR spectroscopy
Year:
2026
Region / Institution:
University of Manchester, United Kingdom
Subject:
Nuclear magnetic resonance spectroscopy, mixture analysis, software development
Document type:
Research article
Authors:
Guilherme Dal Poggetto, Laura Castañar, Mohammadali Foroozandeh, Peter Kiraly, Ralph W. Adams, Gareth A. Morris, Mathias Nilsson
Target audience:
Researchers in chemistry and analytical spectroscopy
Software:
MAGNATE (Multidimensional Analysis for the GNAT Environment)
License:
GNU General Public License
Methods discussed:
3D DOSY, HR-DOSY, pure shift NMR, multivariate analysis (OUTSCORE)
Applications:
Analysis of complex mixtures, visualization of diffusion coefficients
Publication format:
Open-access software demonstration with experimental results
Year:
2021
Region / City:
Global
Topic:
Science Education
Document Type:
Virtual Lab Activity
Organization / Institution:
FOSS
Author:
FOSS Education
Target Audience:
Students, Educators
Period of Activity:
Ongoing
Approval Date:
Not specified
Modification Date:
Not specified
Topic:
Non-Newtonian fluid experiment with cornstarch and water
Type of document:
Educational experiment instruction sheet
Subject area:
Science
Key materials:
Cornstarch, water, food coloring, plastic spiders, tweezers
Equipment:
Bowl, spoon, measuring cup, cookie sheet, tray or sink setup
Mixture ratio:
2 parts cornstarch to 1 part water
Procedure elements:
Mixing ingredients, placing objects into mixture, testing removal and shaping
Optional items:
Plastic spiders or other plastic objects
Storage instructions:
Airtight container in refrigerator
Storage duration:
Up to two weeks
Audience:
Children or students performing a simple science activity
Observation questions:
Behavior of objects on the mixture and transformation between liquid and solid states