№ files_lp_4_process_3_125131
File format: docx
Character count: 47743
File size: 39 KB
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
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:
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
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
Date:
05 November 2019
Region / city:
Johannesburg
Subject:
Travel estimation and flight booking details
Document type:
Flight booking estimate
Agency / institution:
Jet Stream Travel
Author:
Pat van Haarlem
Target audience:
Individual travelers
Validity period:
05 November 2019
Approval date:
05 November 2019
Date of changes:
None
Date:
04 November 2019
Agency Reference Number:
8SJ520
Document Reference Number:
FO8SJ58SJ5PV4404116
Traveller:
P1 - WHITE/DAVIDMR (Adult - ADT)
Note:
Flight Details
Flight 1:
SA308, Cape Town - CPT to Johannesburg - JNB, 11 Dec 2019, 06:15 - 08:10, Class Z - Business
Flight 2:
SA184, Johannesburg - JNB to Nairobi - NBO, 11 Dec 2019, 10:00 - 15:00, Class D - Business
Flight 3:
SA185, Nairobi - NBO to Johannesburg - JNB, 16 Dec 2019, 15:45 - 18:50, Class D - Business
Flight 4:
SA2023, Johannesburg - JNB to Cape Town - CPT, 16 Dec 2019, 20:20 - 22:30, Class Q - Economy
Currency:
ZAR
Fare:
31190.00
Taxes:
3333.86
Fee:
1000.00
Vat:
62.29
Total:
35586.15
Fare Valid Until:
Close of Business Today: 04 November 2019
SA308 Flying Time:
1 Hours 55 Minutes, No Stops: 0, Baggage: Adult - 2PC, Carbon Emission: 211.79 kgs
SA184 Flying Time:
4 Hours 0 Minutes, No Stops: 0, Baggage: Adult - 2PC, Carbon Emission: 374.00 kgs
SA185 Flying Time:
4 Hours 5 Minutes, No Stops: 0, Baggage: Adult - 2PC, Carbon Emission: 381.79 kgs
SA2023 Flying Time:
2 Hours 10 Minutes, No Stops: 0, Baggage: Adult - 2PC, Carbon Emission: 202.58 kgs
Flights:
ZAR 35586.15
Approximate Total:
ZAR 35586.15
Tel:
011 234 2412 | Email: [email protected]
Date:
Friday, 04 October 2019
Agency Reference Number:
8SJ520
Document Reference Number:
FO8SJ58SJ5PV4306578
Note:
Flight Details
Flight:
JE156
From:
Cape Town - CPT
To:
Johannesburg - JNB
Departs:
15:55
Arrives:
17:50
Class:
Q - Economy
Baggage:
Adult - 20K
Carbon Emission:
211.79 kgs
Currency:
ZAR
Fare:
810.00
Taxes:
119.42
Fee:
250.00
Vat:
173.19
Total:
1352.61
Flying Time:
1 hour 55 minutes
No Stops:
0
Flight Operated by:
Comair
Flights:
ZAR 3602.22
Approximate Total:
ZAR 3602.22
Tel:
011 234 2412
Email:
[email protected]
Agency Reference Number:
PPR6BC
Document Reference Number:
FO8SJ58SJ5PV3995137
Date:
Tuesday, 02 July 2019
Flight Details:
SA346, AF995, AF990, AF6659
Fare:
ZAR 38800.00
Taxes:
ZAR 8420.86
Fee:
ZAR 1000.00
VAT:
ZAR 62.29
Total:
ZAR 48283.15
Fare Valid Until:
Close of Business Today: Tuesday, 02 July 2019
Carbon Emission:
211.79 kgs, 1005.13 kgs, 989.54 kgs, 202.58 kgs
Agent Details:
Pat van Haarlem | Travel Consultant
Contact:
011 234 2412 | Email: [email protected]
Year:
2010
Region / City:
N/A
Topic:
Fault Detection, Gearbox Systems
Document Type:
Technical Description
Organization / Institution:
PHM Society
Author:
N/A
Target Audience:
Researchers, Engineers
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Year:
2023
Region / city:
Emory University, USA
Topic:
Applied data analysis, Statistical learning, Machine learning, Statistical decision theory
Document type:
Syllabus
Institution:
Emory University
Instructor:
Abhishek Ananth
Target audience:
Students in data science, statistics, and related fields
Prerequisite:
None
Course duration:
15 weeks
Reading material:
Hansen, Bruce. Econometrics. Princeton University Press, 2022. James, Gareth, et al. An Introduction to Statistical Learning: with Applications in Python. New York: springer, 2023.
Assessment:
Problem sets (5) – 14% each, Class participation – 5%, Take-home final – 25%
Date of approval:
Not specified
Date of changes:
Not specified
Year:
2025
Region / City:
Australia
Topic:
Greenhouse Gas Emissions Estimation
Document Type:
Guideline
Agency / Organization:
Department of Climate Change, Energy, the Environment and Water
Author:
Environmental Accounting Services
Target Audience:
Government, environmental agencies, industry stakeholders
Period of Validity:
Not specified
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2025
Region / city:
Canberra
Topic:
Greenhouse gas emissions estimation, agriculture, fisheries, and forestry
Document Type:
Guidelines
Institution:
Department of Climate Change, Energy, the Environment and Water
Author:
DCCEEW (Department of Climate Change, Energy, the Environment and Water)
Target Audience:
Agricultural, fisheries, and forestry professionals, environmental researchers
Period of Effect:
Ongoing
Approval Date:
February 2025
Date of Revisions:
Not indicated
Intellectual Property Rights:
Commonwealth of Australia owns copyright and other intellectual property rights
Acknowledgments:
Environmental Accounting Services for drafting, Voluntary Greenhouse Gas Estimation and Reporting Standards Reference Group for contributions
Creative Commons License:
CC BY 4.0
Contact Information:
Department of Climate Change, Energy, the Environment and Water, GPO Box 3090, Canberra ACT 2601, Telephone 1800 920 528
Disclaimer:
Liability for any damages or loss related to the document is disclaimed
Note:
Contextual Description
Year:
2025
Region / City:
Canberra, Australia
Topic:
Greenhouse Gas Emissions Estimation
Document Type:
Draft Guidelines
Agency / Institution:
Department of Climate Change, Energy, the Environment and Water
Author:
Environmental Accounting Services, Voluntary Greenhouse Gas Estimation and Reporting Standards Reference Group
Target Audience:
Agriculture, Fisheries, and Forestry industries, producers, advisors, decision-makers
Period of Application:
Ongoing
Approval Date:
February 2025
Date of Changes:
N/A
Year:
2024
Region / City:
Victoria
Subject:
Cost estimation for disaster recovery
Document Type:
Guideline
Author:
Emergency Recovery Victoria
Target Audience:
State and Local Government Agencies
Period of Validity:
November 2024 and onwards
Approval Date:
November 2024
Revision Date:
N/A
Year:
2018
Region / City:
Victoria
Theme:
Natural Disaster Recovery, Cost Estimation
Document Type:
Fact Sheet
Agency / Organization:
Emergency Recovery Victoria, Department of Justice and Community Safety
Author:
Not specified
Target Audience:
Delivery Agencies, local councils, Catchment Management Authorities, state agencies
Period of Validity:
Not specified
Approval Date:
12.10.2018
Last Updated:
20.12.2023