Výsledky vyhledávání - "Model-Based Clustering with Mixture Models"

In-depth Analysis of von Mises Distribution Models: Understanding Theory, Applications, and Future Directions

Autoři: Said Benlakhdar Mohammed Rziza Rachid Oulad Haj Thami

Zdroj: Statistics, Optimization & Information Computing. 12:1210-1230

Témata: Statistics and Probability, Finite element method, von Mises distribution, Structural engineering, 7. Clean energy, Data science, Engineering, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Field (mathematics), 11. Sustainability, FOS: Mathematics, 14. Life underwater, Mathematical Physics, Scaling Limits of Interacting Particle Systems, Physics, Mixed-Effects Models, Pure mathematics, Optics, von Mises yield criterion, Focus (optics), Computer science, Management science, 13. Climate action, Computer Science, Physical Sciences, Model-Based Clustering with Mixture Models, Mathematics

The one-sayers model for the Extended Crosswise design

Autoři: Maarten Cruyff Khadiga H. A. Sayed Andrea Petróczi a další

Zdroj: Journal of the Royal Statistical Society Series A: Statistics in Society. 187:882-899

Témata: Response bias, Statistics and Probability, Survey Sampling, 05 social sciences, 01 natural sciences, 0504 sociology, Artificial Intelligence, Cheating, Physical Sciences, Multi-label Text Classification in Machine Learning, Computer Science, Doping, FOS: Mathematics, Self-protection, 0101 mathematics, Randomized response, Statistical Methods for Sensitive Survey Questions, Model-Based Clustering with Mixture Models, 10. No inequality, Mathematics

The Beta-Truncated Lomax Distribution with Communications Data

Autoři: Hanan H. El-Damrawy

Zdroj: Delta Journal of Science. 48:135-144

Témata: Statistics and Probability, Lomax distribution, 4. Education, Statistics, Social Sciences, Pareto distribution, Management Science and Operations Research, Decision Sciences, Artificial Intelligence, Skew Distributions and Applications in Statistics, Physical Sciences, Computer Science, FOS: Mathematics, Model-Based Clustering with Mixture Models, Modeling Risk in Insurance and Finance, Mathematics

The wrapped XLindley distribution

Autoři: E. Zinhom M. M. Nassar S. S. Radwan a další

Zdroj: Environmental and Ecological Statistics. 30:669-686

Témata: Statistics and Probability, Finite element method, Environmental Engineering, von Mises distribution, Digital Soil Mapping Techniques, 01 natural sciences, Mathematical analysis, Estimator, Artificial Intelligence, Skew Distributions and Applications in Statistics, 11. Sustainability, FOS: Mathematics, 14. Life underwater, 0101 mathematics, Goodness of fit, Distribution (mathematics), Physics, Statistics, FOS: Environmental engineering, von Mises yield criterion, 15. Life on land, Applied mathematics, 13. Climate action, Computer Science, Physical Sciences, Environmental Science, Multivariate Normality, Thermodynamics, Model-Based Clustering with Mixture Models, Mathematics, Least-squares function approximation, Maximum likelihood

Clustering Analysis of Multivariate Data: A Weighted Spatial Ranks-Based Approach

Autoři: Mohammed Baragilly Hend Gabr Brian H Willis

Zdroj: Journal of Probability and Statistics, Vol 2023 (2023)

Témata: Sensory Analysis in Food Science Research, Artificial intelligence, Cluster (spacecraft), 02 engineering and technology, Pattern recognition (psychology), Quantum mechanics, 01 natural sciences, QA273-280, Clustering, Agricultural and Biological Sciences, Clustering Algorithms, Cluster analysis, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Data mining, Data Clustering Techniques and Algorithms, Nonparametric statistics, Physics, Statistics, Spatial analysis, Life Sciences, Measure (data warehouse), Semi-supervised Clustering, Computer science, Multivariate statistics, Programming language, Rank (graph theory), Combinatorics, Computer Science, Physical Sciences, Gaussian, Kernel (algebra), Model-Based Clustering with Mixture Models, Stream Data Clustering, Probabilities. Mathematical statistics, Density-based Clustering, Mathematics, Food Science

Popis souboru: text/xhtml

Přístupová URL adresa: https://doaj.org/article/681bdaf8118f479b92e00a56250e988a

Variational Bayesian Inference for Exponentiated Weibull Right Censored Survival Data

Autoři: Jibril Abubakar Mohd Asrul Affendi Abdullah Oyebayo Ridwan Olaniran

Zdroj: Statistics, Optimization & Information Computing. 11:1027-1040

Témata: Statistics and Probability, Regularization and Variable Selection Methods, Variational Inference, Bayesian probability, Mathematical analysis, T Technology (General), Methods for Handling Missing Data in Statistical Analysis, Shape parameter, Artificial Intelligence, FOS: Mathematics, Exponentiated Weibull distribution, Hidden Markov Models, 4. Education, Statistics, Exponential function, Mixed-Effects Models, Log-normal distribution, Covariate, Accelerated failure time model, Applied mathematics, Longitudinal Data Analysis, Computer Science, Physical Sciences, Exponential distribution, Weibull distribution, High-Dimensional Data, Model-Based Clustering with Mixture Models, Mathematics, Monotonic function

Popis souboru: text

Towards U-statistics clustering inference for multiple groups

Autoři: Debora Zava Bello Márcio Valk Gabriela Bettella Cybis

Zdroj: Journal of Statistical Computation and Simulation. 94:204-222

Témata: Statistics and Probability, Artificial intelligence, Regularization and Variable Selection Methods, Variational Inference, Clustering, Statistical hypothesis testing, Cluster analysis, Inference, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, CURE data clustering algorithm, Molecular Biology, Data mining, Statistic, Fuzzy clustering, Statistics, Life Sciences, Computer science, Test statistic, Outlier, Computer Science, Physical Sciences, Clustering high-dimensional data, High-Dimensional Data, Model-Based Clustering with Mixture Models, Mathematics, Statistical inference

Nonparametric clustering of RNA‐sequencing data

Autoři: Gabriel Lozano Nadia A. Lanman Michael A. Levine

Zdroj: Statistical Analysis and Data Mining: The ASA Data Science Journal. 16:547-559

Témata: FOS: Computer and information sciences, Artificial intelligence, Feature (linguistics), Mixture Models, Pattern recognition (psychology), Statistics - Applications, 01 natural sciences, Clustering, Identification (biology), Cluster analysis, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, Salient, FOS: Mathematics, Applications (stat.AP), Interpretability, Expectation–maximization algorithm, 0101 mathematics, Molecular Biology, Data mining, Biology, Mixture model, Nonparametric statistics, Text Compression and Indexing Algorithms, Statistics, Botany, Life Sciences, Linguistics, Computer science, Multivariate statistics, FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Model-Based Clustering with Mixture Models, Mathematics, Maximum likelihood

Přístupová URL adresa: http://arxiv.org/abs/2209.11705

Row mixture-based clustering with covariates for ordinal responses

Autoři: Kemmawadee Preedalikit Daniel Fernández Ivy Liu a další

Přispěvatelé: Kemmawadee Preedalikit Daniel Fernández Ivy Liu a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Statistics and Probability, Mixtures -- Statistical methods, Data set, Proportional odds model, Mixture Models, 02 engineering and technology, Regularization and Variable Selection Methods, 01 natural sciences, Clustering, Database, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Expectation–maximization algorithm, Ordinal data, Sampling (Statistics), 0101 mathematics, EM algorithm, Data mining, Data Clustering Techniques and Algorithms, Àrees temàtiques de la UPC::Matemàtiques i estadística, Statistics, Covariate, Computer science, Anàlisi de conglomerats, Ordinal responses, Row, Computer Science, Physical Sciences, Computational statistics, Mixture models, Model-Based Clustering with Mixture Models, Mostreig (Estadística), Mathematics, Density-based Clustering, Cluster analysis, EM algorithm, Mixture models, Ordinal responses, Proportional odds model, Maximum likelihood

Popis souboru: application/pdf

An Extension of the Geometric Distribution with Properties and Applications

Autoři: Subrata Chakraborty S. H. Ong Aniket Biswas

Zdroj: Austrian Journal of Statistics, Vol 52, Iss 3 (2023)

Témata: Statistics and Probability, Geometric distribution, Parametric Models, Bayesian probability, Mathematical analysis, 01 natural sciences, QA273-280, Probability distribution, Artificial Intelligence, Skew Distributions and Applications in Statistics, FOS: Mathematics, Classical mechanics, 0101 mathematics, Estimation theory, Global and Planetary Change, Extension (predicate logic), Distribution (mathematics), Physics, 4. Education, Statistics, Moment (physics), Applied mathematics, Computer science, HA1-4737, Programming language, Algorithm, Physical Sciences, Computer Science, Global Drought Monitoring and Assessment, Environmental Science, Model-Based Clustering with Mixture Models, Probabilities. Mathematical statistics, Mathematics, Maximum likelihood

Přístupová URL adresa: https://doaj.org/article/c42b4065da544c66831edf3b78ec09fc

Efficient Multimodal Sampling via Tempered Distribution Flow

Autoři: Yixuan Qiu Xiao Wang

Zdroj: Journal of the American Statistical Association. 119:1446-1460

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Distribution (mathematics), Geometry, Machine Learning (stat.ML), Sampling (signal processing), Statistics - Computation, Computer science, Mathematical analysis, Machine Learning (cs.LG), Filter (signal processing), Methodology (stat.ME), Anomaly Detection in High-Dimensional Data, Statistics - Machine Learning, Artificial Intelligence, Computer Science, Physical Sciences, FOS: Mathematics, Computer vision, Model-Based Clustering with Mixture Models, Flow (mathematics), Statistics - Methodology, Computation (stat.CO), Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2304.03933

Statistical modelling for the Covid-19 mortality rate in the Kingdom of Saudi Arabia

Autoři: Osama Abdulaziz Alamri Abdulrahman H Alessa Eslam Hussam a další

Zdroj: Alexandria Engineering Journal
Alexandria Engineering Journal, Vol 68, Iss, Pp 517-526 (2023)

Témata: Social Sciences, Organic chemistry, Evolutionary biology, Infectious disease (medical specialty), 02 engineering and technology, Estimator, 01 natural sciences, Skew Distributions and Applications in Statistics, Probability density function, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Disease, Quantile, 4. Education, Statistics, Engineering (General). Civil engineering (General), Classical methods, Programming language, 3. Good health, Economics, Econometrics and Finance, Chemistry, Function (biology), Physical Sciences, Exponential distribution, Medicine, Original Article, TA1-2040, Model-Based Clustering with Mixture Models, Hazard, Statistics and Probability, Data set, Skew Distributions, Set (abstract data type), Mathematical analysis, New extension-X, Maximum product spacing. AIC, Artificial Intelligence, FOS: Mathematics, 0101 mathematics, Biology, Length-biased exponential distribution, Distribution (mathematics), Exponential function, Applied mathematics, Computer science, Coronavirus disease 2019 (COVID-19), Modeling and Forecasting Financial Volatility, Computer Science, Mathematics, Finance

Přístupová URL adresa: https://doaj.org/article/4bfd300ccadc47df9d003ae709e12b8f

Improved modified estimator for estimation of median using auxiliary information under simple random sampling

Autoři: Sohaib Ahmad Saadia Masood Abdullah Mohammed Alomair a další

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Témata: Statistics and Probability, Survey Sampling, Estimation Methods, Economics, Science, Population, Auxiliary Information, Efficiency, Epistemology, Auxiliary information, Estimator, 01 natural sciences, Article, Filter (signal processing), 03 medical and health sciences, 0302 clinical medicine, Simple random sample, Artificial Intelligence, Median estimation, FOS: Mathematics, 0101 mathematics, Statistical Methods for Sensitive Survey Questions, 4. Education, Statistics, Mean square error, Sampling (signal processing), Computer science, FOS: Philosophy, ethics and religion, Management, Philosophy, Environmental health, Physical Sciences, Computer Science, Simple (philosophy), Medicine, Computer vision, Population Mean Estimation, Model-Based Clustering with Mixture Models, Stratified Sampling, Estimation, Simulation, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39019932
https://doaj.org/article/7412253326cf4ce191f0c5ec712ef5f9

Discrete Logistic Exponential Distribution with Application

Autoři: Afrah Al‐Bossly Mohamed S. Eliwa Muhammad Ahsan ul Haq a další

Zdroj: Statistics, Optimization & Information Computing. 11:629-639

Témata: Statistics and Probability, History, Logistic regression, Skew Distributions, Exponential family, Logistic distribution, Estimator, Mathematical analysis, Lifetime Modeling, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Skew Distributions and Applications in Statistics, FOS: Mathematics, Hidden Markov Models, Bathtub, Maximum Likelihood Estimation, Distribution (mathematics), 4. Education, Exponential function, Statistics, Mixed-Effects Models, Applied mathematics, Computer science, Archaeology, Physical Sciences, Computer Science, Exponential distribution, Model-Based Clustering with Mixture Models, Mathematics, Discretization, Maximum likelihood

A New Poisson Generalized Lindley Regression Model

Autoři: Yupapin Atikankul

Zdroj: Austrian Journal of Statistics, Vol 52, Iss 1 (2023)

Témata: Statistics and Probability, Population, Generalized linear model, Estimator, Mathematical analysis, QA273-280, Poisson regression, Sociology, Artificial Intelligence, Factorial, Skew Distributions and Applications in Statistics, Probability density function, FOS: Mathematics, Coagulation and Flocculation Processes in Water Treatment, Classical mechanics, Water Science and Technology, Count data, Demography, Distribution (mathematics), Physics, 4. Education, Statistics, Moment (physics), Applied mathematics, HA1-4737, FOS: Sociology, Generalized Exponential, Compound Poisson distribution, Physical Sciences, Computer Science, Environmental Science, Moment-generating function, Poisson distribution, Model-Based Clustering with Mixture Models, Probabilities. Mathematical statistics, Regression analysis, Mathematics, Zero-inflated model

Přístupová URL adresa: https://doaj.org/article/ab3815ce083f45419976a5fdc9d84218

Prediction Using Many Samples with Models Possibly Containing Partially Shared Parameters

Autoři: Xinyu Zhang Huihang Liu Yanzhang Wei a další

Zdroj: Journal of Business & Economic Statistics. 42:187-196

Témata: Statistics and Probability, Artificial intelligence, Learning and Inference in Bayesian Networks, Mixture Models, Regularization and Variable Selection Methods, 01 natural sciences, FOS: Economics and business, Artificial Intelligence, Machine learning, 0502 economics and business, FOS: Mathematics, Econometrics, Sparse Models, 0101 mathematics, Data mining, Model Selection, Hidden Markov Models, 05 social sciences, Covariate, Predictive modelling, Structure Learning, Computer science, Physical Sciences, Computer Science, Model-Based Clustering with Mixture Models, Mathematics

Discrete Extension of Poisson Distribution for Overdispersed Count Data: Theory and Applications

Autoři: Mohamed S. Eliwa Muhammad Ahsan ul Haq Amani Almohaimeed a další

Zdroj: Journal of Mathematics, Vol 2023 (2023)

Témata: Statistics and Probability, Skew Distributions, Estimator, Skewness, 01 natural sciences, Probability distribution, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Skew Distributions and Applications in Statistics, Probability density function, QA1-939, FOS: Mathematics, Classical mechanics, Statistical Methods, 0101 mathematics, Hidden Markov Models, Kurtosis, Physics, Statistics, Mixed-Effects Models, Probability mass function, Moment (physics), Applied mathematics, Physical Sciences, Computer Science, Poisson distribution, Model-Based Clustering with Mixture Models, Mathematics, Statistical inference

Popis souboru: text/xhtml

Přístupová URL adresa: https://doaj.org/article/9939a2bd09f24246b0cc88aabd010ce2

A discrete mixed distribution: Statistical and reliability properties with applications to model COVID-19 data in various countries

Autoři: Mohamed S. Eliwa Buthaynah T. Alhumaidan Raghad N. Alqefari

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 7859-7881 (2023)

Témata: Statistics and Probability, Mixture Models, discretization technique, Estimator, 01 natural sciences, Lifetime Modeling, Artificial Intelligence, Skew Distributions and Applications in Statistics, statistics and numerical data, QA1-939, FOS: Mathematics, Classical mechanics, 0101 mathematics, Hidden Markov Models, Mixture model, Global and Planetary Change, Physics, Statistics, Moment (physics), simulation, Applied mathematics, failure analysis, Algorithm, covid-19, Outlier, Residual, Physical Sciences, Global Drought Monitoring and Assessment, Environmental Science, Computer Science, Model-Based Clustering with Mixture Models, TP248.13-248.65, Mathematics, mixed distributions, Biotechnology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37161176
https://doaj.org/article/3d7a72f76d8549ca9b9a42ffdd9f25ca

Analyzing the Rainfall Pattern in Honduras Through Non-Homogeneous Hidden Markov Models

Autoři: Gustavo Alexis Sabillón Daiane Aparecida Zuanetti

Zdroj: Journal of Data Science. :799-817

Témata: Artificial intelligence, Data set, Markov chain, Mixture Models, Social Sciences, Set (abstract data type), Bayesian probability, 01 natural sciences, FOS: Economics and business, Artificial Intelligence, Machine learning, FOS: Mathematics, Expectation–maximization algorithm, Homogeneous, Econometrics, 14. Life underwater, 0101 mathematics, Data mining, Hidden Markov Models, Hidden Markov model, Global and Planetary Change, Statistics, Covariate, 15. Life on land, Computer science, Programming language, Economics, Econometrics and Finance, Modeling and Forecasting Financial Volatility, Combinatorics, 13. Climate action, Computer Science, Physical Sciences, Global Drought Monitoring and Assessment, Environmental Science, Model-Based Clustering with Mixture Models, Finance, Mathematics, Maximum likelihood

Optimizing analgesic pain relief time analysis through Bayesian and non-Bayesian approaches to new right truncated Fréchet-inverted Weibull distribution

Autoři: Nora Nader Dina A. Ramadan Hanan Haj Ahmad a další

Zdroj: AIMS Mathematics, Vol 8, Iss 12, Pp 31217-31245 (2023)

Témata: Statistics and Probability, Hazard ratio, progressive type-ⅱ censoring, Skew Distributions, Bayesian probability, Bayes estimator, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Skew Distributions and Applications in Statistics, QA1-939, FOS: Mathematics, bayes estimation, Classical mechanics, Quantile, weibull distribution, maximum likelihood estimators, Physics, Confidence interval, Statistics, modeling, Moment (physics), simulation, Applied mathematics, Sensitivity Analysis, fréchet distribution, Physical Sciences, Computer Science, Weibull distribution, Model-Based Clustering with Mixture Models, Mathematics

Přístupová URL adresa: https://doaj.org/article/01d793c7bb674be6aaca098ca18bda78