Post-Election Risk-Limiting Audits in Indiana
Indiana's post-election audits, overseen by the Voting System Technical Oversight Program, utilize statistical methods to verify election outcomes, ensuring accuracy and reliability in the electoral process. The VSTOP team, led by experts in various fields, conducts audits based on Indiana Code IC 3
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Bayesian Reasoning and Decision Making with Uncertainty
Exploring Bayesian reasoning principles such as Bayesian inference and Naïve Bayes algorithm in the context of uncertainty. The content covers the sources of uncertainty, decision-making strategies, and practical examples like predicting alarm events based on probabilities.
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Bayesian Learning in Machine Learning
Bayesian learning is a powerful approach in machine learning that involves combining data likelihood with prior knowledge to make decisions. It includes Bayesian classification, where the posterior probability of an output class given input data is calculated using Bayes Rule. Understanding Bayesian
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GMP Audits in Construction: Navigating Client Expectations
This presentation at the National Association of Construction Auditors' virtual conference focuses on helping clients grasp the key objectives and processes of Guaranteed Maximum Price (GMP) audits. Dave Potak, a seasoned professional, will share insights on managing client expectations, best practi
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Utilizing Bayesian Regression Models for Small Sample Education Decision-Making
Bayesian regression models can be valuable tools for addressing the challenges of small sample sizes in educational research, particularly in the Pacific Region where data availability is limited. These models offer advantages for conducting robust analyses and informing system-level education decis
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Wireless Security Audits and Best Practices
Explore the world of security audits with a focus on wireless networks. Learn about the types of security audits, best practices, and the steps involved. Discover the importance of systematic evaluations, identifying vulnerabilities, establishing baselines, and compliance considerations. Dive into t
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Departmental Audits in GST
Departmental audits in GST involve the examination of records, returns, and other documents to verify the correctness of turnover declared, taxes paid, refunds claimed, and input tax credit availed. This audit ensures compliance with the provisions of the CGST Act, 2017. Types of audits under GST in
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Bayesian Approach in Pediatric Cancer Clinical Trials
Pediatric cancer clinical trials benefit from Bayesian analysis, allowing for the incorporation of uncertainty in prior knowledge and ensuring more informed decision-making. The use of Bayesian methods in the development of cancer drugs for children and adolescents, as emphasized by initiatives like
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Bayesian Reasoning: A Comprehensive Overview
Bayesian reasoning involves utilizing probabilities to make inferences and decisions in the face of uncertainty. This approach allows for causal reasoning, decision-making under uncertainty, and prediction based on available evidence. The concept of Bayesian Belief Networks is explored, along with t
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Bayesian Audits in Election Processes
Bayesian audits, introduced by Ronald L. Rivest, offer a method to validate election results by sampling and analyzing paper ballots. They address the probability of incorrect winners being accepted and the upset probability of reported winners losing if all ballots were examined. The Bayesian metho
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Single Audits in Federal Grant Programs
Audits play a crucial role in ensuring accountability in Federal grant programs. Single Audits, being the most common type, combine financial and compliance audits into one report. Learn about threshold determinations, risk-based approaches, and key changes in the Uniform Guidance through this compr
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Safety Management Overview and Audits Report
Explore a detailed report on safety management practices, audits findings, and actionable insights in the BSEE office. Learn about prior audits, SEMS evaluations, CAP verification, and more. Dive into SEMS subpart O audits and API RP 75 guidelines for a comprehensive understanding of safety protocol
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Collaborative Bayesian Filtering in Online Recommendation Systems
COBAFI: COLLABORATIVE BAYESIAN FILTERING is a model developed by Alex Beutel and collaborators to predict user preferences in online recommendation systems. The model aims to fit user ratings data, understand user behavior, and detect spam. It utilizes Bayesian probabilistic matrix factorization and
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Bayesian Optimization in Ocean Modeling
Utilizing Bayesian optimization in ocean modeling, this research explores optimizing mixed layer parameterizations and turbulent kinetic energy closure schemes. It addresses challenges like expensive evaluations of objective functions and the uncertainty of vertical mixing, presenting a solution thr
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The Impact of Audits on Post-Audit Tax Compliance
Audits have direct and indirect effects on taxpayers, influencing compliance behaviors. While more audits generally lead to increased compliance, outcomes can be ambiguous, with some studies showing a decline in post-audit compliance. Behavioral responses to tax audits are driven by perceived risks
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Bayesian Networks: A Comprehensive Overview
Bayesian networks, also known as Bayes nets, provide a powerful tool for modeling uncertainty in complex domains by representing conditional independence relationships among variables. This outline covers the semantics, construction, and application of Bayesian networks, illustrating how they offer
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Impact of Audits on Tax Compliance: Insights from Research Studies
Studies conducted by researchers such as Erich Kirchler have explored the impact of audits on tax compliance. While audits generally have a positive effect on compliance, there are cases where they can backfire, leading to unintended consequences. High auditing levels may not always deter tax evasio
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The Interaction Between Criminal Investigations and Civil Tax Audits in Sweden
The relationship between criminal investigations and civil tax audits in Sweden is explored, highlighting how tax audits and criminal proceedings run concurrently. The mens rea requirement for criminal sanctions and tax surcharge, as well as the integration between criminal sanctions and tax surchar
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Interim Waiver Process for BRC Audits During Corona Outbreak
This content outlines the interim waiver process and scheduling procedures for local office client audits during the Corona outbreak. It includes steps for completing waiver applications, conducting remote audits, and handling certification extensions. The document also provides guidelines for remot
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Bayesian Analysis of Oxygen Consumption Rates in Athletes
The sports scientist measures the rate of oxygen consumption in athletes after exercise, with a sample mean of 2.25 litres per minute and a standard deviation of 1.6. Using Bayesian analysis with vague prior knowledge, a posterior distribution is obtained. The 95% Bayesian confidence interval is cal
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Forecasting Short-Term Urban Rail Passenger Flows Using Dynamic Bayesian Networks
A study presented a dynamic Bayesian network approach to forecast short-term urban rail passenger flows in the Paris region. The research addresses the challenges of incomplete data, unexpected events, and the need for real-time forecasting in public transport networks. By leveraging Bayesian networ
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Supporting SAIs in Auditing SDGs: Reflections and Plans
SAIs play a crucial role in auditing SDGs to ensure high-quality audits of partnerships. Various SAIs and funding partners are actively involved in supporting this initiative. The story so far includes audits of preparedness and implementation of SDGs, with performance audits supporting 73 SAIs and
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Bayesian Networks for Efficient Probabilistic Inference
Bayesian networks, also known as graphical models, provide a compact and efficient way to represent complex joint probability distributions involving hidden variables. By depicting conditional independence relationships between random variables in a graph, Bayesian networks facilitate Bayesian infer
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Bayesian Decision Networks in Information Technology for Decision Support
Explore the application of Bayesian decision networks in Information Technology, emphasizing risk assessment and decision support. Understand how to amalgamate data, evidence, opinion, and guesstimates to make informed decisions. Delve into probabilistic graphical models capturing process structures
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Utilizing Bayesian Hierarchical Model for Clinical Trial Quality Design
Explore how a Bayesian Hierarchical Model can be leveraged to design quality into clinical trials and ensure compliance with ICH E6 R2 Quality Tolerance Limits. Learn about the Risk-Based approach, Quality Tolerance Limits methodology, and the application of Bayesian modeling for early phase studies
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Deep Generative Bayesian Networks in Machine Learning
Exploring the differences between Neural Networks and Bayesian Neural Networks, the advantages of the latter including robustness and adaptation capabilities, the Bayesian theory behind these networks, and insights into the comparison with regular neural network theory. Dive into the complexities, u
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Fast Bayesian Optimization for Machine Learning Hyperparameters on Large Datasets
Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app
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Dynamic Crowd Simulation Using Deep Reinforcement Learning and Bayesian Inference
This paper introduces a novel method for simulating crowd movements by combining deep reinforcement learning (DRL) with Bayesian inference. By leveraging neural networks to capture complex crowd behaviors, the proposed approach incorporates rewards for natural movements and a position-based dynamics
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Food Industry Perspective on 3rd Party Audits and Regulatory Inspections
Overview of regulatory inspections and 3rd party audits in the food industry from the perspective of Tim Ahn, Global Director of Quality & Food Safety at Mars Chocolate. The content covers the importance of inspections, differences between inspections and audits, and the role of audits in driving qu
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Audits in Clinical Trial
This content discusses the importance of audits in clinical trials, focusing on the Integrated Addendum to ICH E6(R1) guideline for Good Clinical Practice. It covers the purpose of audits, selection and qualification of auditors, auditing procedures, and key definitions related to audits in clinical
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Advanced Methods in Bayesian Belief Networks Classification
Bayesian belief networks, also known as Bayesian networks, are graphical models that allow class conditional independencies between subsets of variables. These networks represent dependencies among variables and provide a specification of joint probability distribution. Learn about classification me
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Bayesian Data Analysis
Dive into Bayesian data analysis with a focus on Psychology applications. Learn about Bayesian inference, model parameters, Markov-Chain Monte Carlo, alternatives to NHST, and more. Explore tools like R, JAGS, Stan, and JASP through practical examples and tutorials. Enhance your skills in conducting
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Bayesian Inference in Linguistic Studies: Exploring Data Analysis Methods
Use of Bayesian inference in linguistic studies for analyzing data. Understand the differences between frequentist and Bayesian probabilities. Learn about Bayes' Theorem, Bayesian inference process, and the importance of choosing priors carefully.
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Auditing
Auditing involves the accumulation and evaluation of evidence to assess the accuracy of information in comparison to established criteria. Different types of audits, including financial statement audits, operational audits, and compliance audits, serve specific purposes in ensuring the integrity of
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Bayesian Econometric Analysis of Panel Data: A Comprehensive Overview
This material delves into Bayesian econometric analysis of panel data, exploring Bayesian econometric models, relevant sources, software tools, philosophical underpinnings, objectivity vs. subjectivity, and paradigms in classical and Bayesian approaches. It discusses the use of new information to up
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Bayesian Philosophy of Science and Confirmation Theory
This content delves into the Bayesian Philosophy of Science, focusing on the Bayesian Confirmation Theory (BCT). It discusses conditions of adequacy and representation theorems, showing how Bayesian Confirmation Theory can be applied by historians of science and scientists. The theory addresses para
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Calibrated Bayesian Approach for Survey Inference
Explore the Calibrated Bayesian approach for sample survey inference, including understanding different modes of inference, mechanics of Bayesian inference, and incorporating survey design features. Learn about models for complex surveys and key aspects of survey inference methods. Gain insights int
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Simulation Metamodeling with Dynamic Bayesian Networks
Explore the innovative use of Dynamic Bayesian Networks in Simulation Metamodeling for Decision Analysis and Multiple Criteria Evaluation, presented in Jirka Poropudas' thesis at Aalto University. The thesis delves into Bayesian Networks, Influence Diagrams, and Game Theory to enhance simulation mod
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Benefits of Joint Audits in Tax Compliance and Administration
Explore the advantages of joint audits over unilateral audits in the context of tax compliance and administration. Discover how joint audits enhance efficiency, promote uniformity, and address challenges in multistate tax assessments. Learn about initiatives like MTC's Joint Audit Program and the Eu
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Understanding the Importance of Firewall Audits in Cybersecurity
Discover the significance of firewall audits in cybersecurity, including what firewalls are, why audits are crucial, and who manages state firewalls. Learn about the process of firewall audits, their importance in identifying vulnerabilities, weaknesses, and potential threats, and how they help orga
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