The probabilistic voting theory, also known as the probabilistic voting model, is a voting theory developed by professors Assar Lindbeck and Jörgen Weibull...

In statistics, a mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring...

A probabilistic neural network (PNN) is a feedforward neural network, which is widely used in classification and pattern recognition problems. In the...

the probabilistic voting model (in which legislators farther from the "cutting line" between "yea" and "nay" outcomes become more likely to vote in the...

In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent...

theory probabilistic models, which include Thurstone's approach (also called the law of comparative judgment), the Bradley–Terry–Luce (BTL) model, and general...

Laplace, who used a probabilistic model based on the law of large numbers. The Borda count is classified as a positional voting system, that is, all...

McLean Sloughter; Tilmann Gneiting, ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging, Wikidata Q98972500 Adrian Raftery;...

voting (often called ranked-choice in the United States), First-past-the-post voting, and the two-round system. Most rated systems, like score voting...

In statistics, linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory...

culture of indifference is a probabilistic model used in social choice theory for analyzing ranked voting method rules. The model is understood to be unrealistic...

outputs. Variational autoencoders (VAEs) are deep learning models that probabilistically encode data. They are typically used for tasks such as noise...

parliamentary procedures for voting on laws, as well as electoral systems; as such, the field is occasionally called voting theory. It is closely related...

presence of this societal intransitivity is the voting paradox. Regardless of the voting method and the actual votes, there are only three cases to consider:...

Maximal lotteries are a probabilistic voting rule that use ranked ballots and returns a lottery over candidates that a majority of voters will prefer,...

monotonicity criterion is a voting system criterion used to evaluate both single and multiple winner ranked voting systems. A ranked voting system satisfies non-negative...

opposition as a point of departure for social choice. Somewhat later, probabilistic voting theory began to displace median voter theory in showing how to find...

(\theta )\ .} A key feature of minimax decision making is being non-probabilistic: in contrast to decisions using expected value or expected utility,...

understanding its meaning. In their paper, Bender et al. argue that LLMs are probabilistically linking words and sentences together without considering meaning....

cryptosystem, invented by and named after Pascal Paillier in 1999, is a probabilistic asymmetric algorithm for public key cryptography. The problem of computing...

when there are many agents. Intriligator, M. D. (1973-10-01). "A Probabilistic Model of Social Choice". The Review of Economic Studies. 40 (4): 553–560...

Plurality voting Instant-runoff voting Borda count Approval Voting Coombs' rule Bucklin voting (and the closely related median voting) Score Voting With plurality...

2017. "Ashcroft Model update: absent UKIP, and Labour's enthusiasm question". lordashcroftpolls.com. 19 May 2017. Combined probabilistic estimate "COMBINED...

perspectives on support vector machines Relevance vector machine, a probabilistic sparse-kernel model identical in functional form to SVM Sequential minimal optimization...

resource to each participant in a deterministic manner. In contrast, probabilistic fair division assigns shares based on probabilities determined by participants’...

an unprecedented legal campaign targeting the American voting system", by restricting voting for partisan advantage ahead of Election Day and preparing...

Looking at information of constituency-level voting in England between 2005 and 2017, patterns of voting confirm the relevance of identifying new categories...

predictions to frequentist probabilities is crucial as it provides probabilistic outputs that are directly interpretable as the actual likelihood of...

systems model source trustworthiness. Majority voting is the simplest method, the most popular value is selected as the true one. Majority voting is commonly...

legislatures approved measures to shorten early voting periods. Florida and Iowa barred all felons from voting. Kansas, South Carolina, Tennessee, Texas, and...