المؤلفون: Alessia Caponera, Claudio Durastanti, Anna Vidotto

المساهمون: Caponera, A., Durastanti, C., Vidotto, A., Caponera, A, Durastanti, C, Vidotto, A

المصدر: Stochastic Processes and their Applications. 137:167-199

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Statistics::Theory, Class (set theory), Mathematics - Statistics Theory, Spherical functional autoregressions, Harmonic (mathematics), Statistics Theory (math.ST), Type (model theory), 01 natural sciences, Domain (mathematical analysis), Methodology (stat.ME), 010104 statistics & probability, Lasso (statistics), Consistency (statistics), FOS: Mathematics, Statistics::Methodology, Applied mathematics, Consistency, Kernel estimation, LASSO method, Oracle inequalities, Stability, 0101 mathematics, Statistics - Methodology, 62M15, secondary 62M10, 60G15, 60F05, 62M40, 60G60, Mathematics, Oracle inequalitie, Applied Mathematics, Probability (math.PR), 010102 general mathematics, Estimator, Autoregressive model, Modeling and Simulation, Mathematics - Probability, Spherical functional autoregression

وصف الملف: STAMPA

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de3881abe1170e4ea6ef891ff94da9ebTest
https://doi.org/10.1016/j.spa.2021.03.009Test

المؤلفون: Jalilian, Abdollah, Mateu, Jorge

مصطلحات موضوعية: autoregressive model, besag model, COVID-19, disease mapping, spatio-temporal prediction, 62M30, 62M10, 91G70

العلاقة: Stochastic Environmental Research and Risk Assessment, Vol. 35 (2021); https://link.springer.com/article/10.1007/s00477-021-02003-2Test; Jalilian, A., Mateu, J. A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany. Stoch Environ Res Risk Assess 35, 797–812 (2021). https://doi.org/10.1007/s00477-021-02003-2Test; http://hdl.handle.net/10234/200916Test; https://doi.org/10.1007/s00477-021-02003-2Test

الإتاحة: https://doi.org/10.1007/s00477-021-02003-2Test
http://hdl.handle.net/10234/200916Test

المؤلفون: Abdollah Jalilian, Jorge Mateu

المصدر: Stochastic Environmental Research and Risk Assessment

مصطلحات موضوعية: FOS: Computer and information sciences, 2019-20 coronavirus outbreak, Environmental Engineering, 010504 meteorology & atmospheric sciences, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 0208 environmental biotechnology, disease mapping, 02 engineering and technology, Autoregressive model, 01 natural sciences, Statistics - Applications, Besag model, 62M30, 62M10, 91G70, Environmental Chemistry, Applications (stat.AP), spatio-temporal prediction, Safety, Risk, Reliability and Quality, 0105 earth and related environmental sciences, General Environmental Science, Water Science and Technology, Original Paper, Spatio-temporal prediction, autoregressive model, COVID-19, besag model, 020801 environmental engineering, Geography, Relative risk, 91G70, Disease mapping, 62M10, Bayesian framework, 62M30, Cartography

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8e684bc4e2b629ef651fa1c53f01d3dTest
http://arxiv.org/abs/2009.13577Test

المؤلفون: Richard A. Davis, Mikkel Slot Nielsen

المصدر: Electron. J. Statist. 14, no. 2 (2020), 3644-3671

مصطلحات موضوعية: Statistics and Probability, FOS: Computer and information sciences, random forests, Computer Science - Machine Learning, Markov process, Mathematics - Statistics Theory, Machine Learning (stat.ML), Statistics Theory (math.ST), 62G05, 62G08, 60G10, 60J05, 62M05, 62M10, Machine Learning (cs.LG), Methodology (stat.ME), symbols.namesake, 60J05, 62M05, Statistics - Machine Learning, Consistency (statistics), 62G08, FOS: Mathematics, Applied mathematics, 62G05, Concentration inequality, Statistics - Methodology, Mathematics, Series (mathematics), Markov processes, nonlinear autoregressive models, Nonparametric regression, Random forest, Nonlinear system, Autoregressive model, nonparametric regression, symbols, 62M10, Statistics, Probability and Uncertainty, 60G10

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7415150b1253db73b108aad9dd82f4f7Test
https://projecteuclid.org/euclid.ejs/1601949674Test

المؤلفون: Hermine Biermé, Christine Georgelin, Anne Duittoz, Camille Constant

المساهمون: Laboratoire de Mathématiques et Applications (LMA-Poitiers), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Physiologie de la reproduction et des comportements [Nouzilly] (PRC), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut Français du Cheval et de l'Equitation [Saumur]-Institut National de la Recherche Agronomique (INRA), Université de Tours, Institut Denis Poisson (IDP), Université d'Orléans (UO)-Université de Tours-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Université d'Orléans (UO), Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Université d'Orléans (UO), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Tours-Institut Français du Cheval et de l'Equitation [Saumur], Université de Tours (UT), Institut Français du Cheval et de l'Equitation [Saumur] (IFCE)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université d'Orléans (UO)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

المصدر: The International Journal of Biostatistics
The International Journal of Biostatistics, De Gruyter, 2021, ⟨10.1515/ijb-2020-0043⟩
The international journal of biostatistics
The international journal of biostatistics, 2022, ⟨10.1515/ijb-2020-0043⟩

مصطلحات موضوعية: Statistics and Probability, 2010 Mathematics Subject Classification. Primary: 62M10, 62F12, 62F03, Secondary: 92B25, Computer science, Stochastic modelling, [SDV]Life Sciences [q-bio], Action Potentials, Asymptotic distribution, Context (language use), 01 natural sciences, neuronal activity, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, peaks detection, 62F03, 0101 mathematics, Statistical hypothesis testing, Neurons, Biological data, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, Quantitative Biology::Neurons and Cognition, neuronal activity 2010 Mathematics Subject Classification Primary: 62M10, Estimator, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, General Medicine, [STAT]Statistics [stat], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Autoregressive model, Autoregressive process, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Calcium, Spike (software development), Statistics, Probability and Uncertainty, time series, 62F12, Biological system, 030217 neurology & neurosurgery

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::595baad566779b97f1f7c52db42b7d6dTest
https://hal.archives-ouvertes.fr/hal-02370401/documentTest

المؤلفون: Yacouba Boubacar Maïnassara, Youssef Esstafa, Bruno Saussereau

المساهمون: Laboratoire de Mathématiques de Besançon (UMR 6623) (LMB), Université de Bourgogne (UB)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, AMS 2000 subject classifications: Primary 62M10, Self-normalization, Asymptotic distribution, Mathematics - Statistics Theory, Statistics Theory (math.ST), [STAT.OT]Statistics [stat]/Other Statistics [stat.ML], Statistics - Applications, 01 natural sciences, 010104 statistics & probability, Con- sistency, secondary 91B84 Keywords and phrases: Nonlinear processes, 0502 economics and business, Consistent estimator, FOS: Mathematics, Range (statistics), Applied mathematics, Asymptotic normality, Applications (stat.AP), 0101 mathematics, Independence (probability theory), 050205 econometrics, Mathematics, [STAT.AP]Statistics [stat]/Applications [stat.AP], Spectral density estimation, 05 social sciences, Cumulants, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], secondary 91B84 Nonlinear processes, FARIMA models, Autoregressive model, Martingale difference sequence, Consistency, Least-squares estimator, Martingale (probability theory)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb71b98b7609eb7656c77ff138ae3daTest
https://hal.archives-ouvertes.fr/hal-02316503Test

المؤلفون: Narayanaswamy Balakrishnan, Josemar Rodrigues, Manoel Santos-Neto, Marcelo Bourguignon

المصدر: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Sequence, 021103 operations research, Distribution (number theory), 0211 other engineering and technologies, Innovation process, 02 engineering and technology, OPERADORES, 01 natural sciences, Methodology (stat.ME), 010104 statistics & probability, Autoregressive model, Decomposition (computer science), 62M10, Applied mathematics, 0101 mathematics, Statistics - Methodology, Mathematics, Count data

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cb01e153cc7a03748650402f4bb52d7Test
https://doi.org/10.1080/03610926.2019.1568492Test

المؤلفون: Winita Sulandari, Muhammad Hisyam Lee, Subanar Subanar, Suhartono Suhartono, Herni Utami

المساهمون: Doctoral Dissertation Research Grant from Non-Tax Revenue Universitas Sebelas Maret (PNBP UNS).

المصدر: Pakistan Journal of Statistics and Operation Research, Vol 14, Iss 4, Pp 945-960 (2018)
Pakistan Journal of Statistics and Operation Research; Vol. 14 No. 4, 2018; 945-960

مصطلحات موضوعية: Statistics and Probability, Series (mathematics), Mean squared error, lcsh:Mathematics, Statistics, 62M10, 37M05,37M10, Estimator, Management Science and Operations Research, lcsh:QA1-939, Mean absolute percentage error, Autoregressive model, Sample size determination, SSA, Trend, Seasonal, Periodic, Deterministic, Modeling and Simulation, Statistics, Probability and Uncertainty, Time series, lcsh:Statistics, lcsh:HA1-4737, Singular spectrum analysis, Mathematics

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c3e9d292a8cad45903dd0d832d5be9fTest
https://doi.org/10.18187/pjsor.v14i4.2443Test

المؤلفون: Mahdi Kalantari

المصدر: Chaos, Solitons & Fractals
Chaos, Solitons, and Fractals

مصطلحات موضوعية: Mean squared error, TBATS, General Mathematics, Neural network autoregression, 37M10, General Physics and Astronomy, ARIMA, 01 natural sciences, Article, 010305 fluids & plasmas, 0103 physical sciences, Statistics, 62M20, Autoregressive integrated moving average, Time series, 010301 acoustics, Singular spectrum analysis, Mathematics, Artificial neural network, Applied Mathematics, Exponential smoothing, COVID-19, Statistical and Nonlinear Physics, Autoregressive model, ARFIMA, 62M10, Autoregressive fractionally integrated moving average

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6de94bc411b883e1401b06136c762b2Test

المؤلفون: James A. Duffy, Ioannis Kasparis

مصطلحات موضوعية: Statistics and Probability, Statistics::Theory, Asymptotic distribution, Inference, Mathematics - Statistics Theory, Regression analysis, Statistics Theory (math.ST), 62M10, 62F12, 62G08, Nonparametric regression, Autoregressive model, FOS: Mathematics, Test statistic, Kernel regression, Applied mathematics, Statistics, Probability and Uncertainty, Parametric statistics, Mathematics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43d7c326d6af8c3901a71f98a12b6a20Test
https://doi.org/10.1214/20-aos1998Test