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Found 1,689 Documents (Results 1–100)

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Avalos-Pacheco, Alejandra (ed.); De Vito, Roberta (ed.); Maire, Florian (ed.)

Bayesian statistics, new generations new approaches. BAYSM 2022. Proceedings of the 6th Bayesian young statistician meeting, Montréal, Canada, June 22–23, 2022. (English) Zbl 1533.62009

Springer Proceedings in Mathematics & Statistics 435. Cham: Springer (ISBN 978-3-031-42412-0/hbk; 978-3-031-42415-1/pbk; 978-3-031-42413-7/ebook). viii, 115 p. (2023).
MSC:  62-06 62C10 62C12 62F15 62P10 00B25
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\textit{A. Avalos-Pacheco} (ed.) et al., Bayesian statistics, new generations new approaches. BAYSM 2022. Proceedings of the 6th Bayesian young statistician meeting, Montréal, Canada, June 22--23, 2022. Cham: Springer (2023; Zbl 1533.62009)
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Calvo, Gabriel; Armero, Carmen; Gómez-Rubio, Virgilio; Mazzinari, Guido

Bayesian growth curve model for studying the intra-abdominal volume during pneumoperitoneum for laparoscopic surgery. (English) Zbl 07826986

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 111-116 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{G. Calvo} et al., Springer Proc. Math. Stat. 405, 111--116 (2022; Zbl 07826986)
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Pedone, Matteo; Argiento, Raffaele; Stingo, Francesco C.

Bayesian nonparametric predictive modeling for personalized treatment selection. (English) Zbl 07826985

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 101-109 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{M. Pedone} et al., Springer Proc. Math. Stat. 405, 101--109 (2022; Zbl 07826985)
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Gaffi, Francesco; Lijoi, Antonio; Prünster, Igor

Specification of the base measure of nonparametric priors via random means. (English) Zbl 07826984

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 91-100 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{F. Gaffi} et al., Springer Proc. Math. Stat. 405, 91--100 (2022; Zbl 07826984)
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Gutiérrez, Iván; Gutiérrez, Luis; Alvares, Danilo

A Bayesian nonparametric test for cross-group differences relative to a control. (English) Zbl 07826983

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 79-89 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{I. Gutiérrez} et al., Springer Proc. Math. Stat. 405, 79--89 (2022; Zbl 07826983)
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Pavani, Jessica; Moraga, Paula

A Bayesian joint spatio-temporal model for multiple Mosquito-borne diseases. (English) Zbl 07826982

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 69-77 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{J. Pavani} and \textit{P. Moraga}, Springer Proc. Math. Stat. 405, 69--77 (2022; Zbl 07826982)
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Teo, Mica Shu Xian; Wade, Sara

Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models. (English) Zbl 07826980

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 45-56 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{M. S. X. Teo} and \textit{S. Wade}, Springer Proc. Math. Stat. 405, 45--56 (2022; Zbl 07826980)
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Tzoumerkas, G.; Fouskakis, D.

Power-expected-posterior methodology with baseline shrinkage priors. (English) Zbl 07826979

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 35-44 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{G. Tzoumerkas} and \textit{D. Fouskakis}, Springer Proc. Math. Stat. 405, 35--44 (2022; Zbl 07826979)
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Strong, Peter; McAlpine, Alys; Smith, Jim Q.

Towards a Bayesian analysis of migration pathways using chain event graphs of agent based models. (English) Zbl 07826978

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 23-33 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{P. Strong} et al., Springer Proc. Math. Stat. 405, 23--33 (2022; Zbl 07826978)
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Chu, Yuanqi; Hu, Xueping; Yu, Keming

Bayesian quantile regression for big data analysis. (English) Zbl 07826977

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 11-22 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{Y. Chu} et al., Springer Proc. Math. Stat. 405, 11--22 (2022; Zbl 07826977)
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Srakar, Andrej

Approximate Bayesian algorithm for tensor robust principal component analysis. (English) Zbl 07826976

Argiento, Raffaele (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. Cham: Springer. Springer Proc. Math. Stat. 405, 1-9 (2022).
MSC:  62C10 62C12 62F15 62P10
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\textit{A. Srakar}, Springer Proc. Math. Stat. 405, 1--9 (2022; Zbl 07826976)
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Argiento, Raffaele (ed.); Camerlenghi, Federico (ed.); Paganin, Sally (ed.)

New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1–3, 2021. (English) Zbl 1521.62004

Springer Proceedings in Mathematics & Statistics 405. Cham: Springer (ISBN 978-3-031-16426-2/hbk; 978-3-031-16429-3/pbk; 978-3-031-16427-9/ebook). xi, 117 p. (2022).
MSC:  62-06 62C10 62C12 62F15 62P10 00B25
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\textit{R. Argiento} (ed.) et al., New frontiers in Bayesian statistics. BAYSM 2021. Selected contributions of the 5th Bayesian young statistician meeting, online, September 1--3, 2021. Cham: Springer (2022; Zbl 1521.62004)
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Matsuoka, Takashi; Chruściński, Dariusz

Compound state, its conditionality and quantum mutual information. (English) Zbl 1516.81024

Accardi, Luigi (ed.) et al., Infinite dimensional analysis, quantum probability and applications, QP41. Proceedings of the 41st conference, United Arab Emirates University (UAEU), Al Ain, Abu Dhabi, United Arab Emirates, virtual, March 28 – April 1, 2021. Cham: Springer. Springer Proc. Math. Stat. 390, 135-150 (2022).
MSC:  81P17 94A24 46L07 62C12
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\textit{T. Matsuoka} and \textit{D. Chruściński}, Springer Proc. Math. Stat. 390, 135--150 (2022; Zbl 1516.81024)
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Shinohara, Shuji; Okamoto, Hiroshi; Manome, Nobuhito; Gunji, Pegio-Yukio; Nakajima, Yoshihiro; Moriyama, Toru; Chung, Ung-il

Simulation of foraging behavior using a decision-making agent with Bayesian and inverse Bayesian inference: temporal correlations and power laws in displacement patterns. (English) Zbl 1498.62020

Chaos Solitons Fractals 157, Article ID 111976, 10 p. (2022).
MSC:  62C12 62F15 62F30
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\textit{S. Shinohara} et al., Chaos Solitons Fractals 157, Article ID 111976, 10 p. (2022; Zbl 1498.62020)
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Cocco, Simona; Monasson, Rémi; Zamponi, Francesco

From statistical physics to data-driven modelling. With applications to quantitative biology. (English) Zbl 1526.82001

Oxford: Oxford University Press (ISBN 978-0-19-886474-5/hbk; 978-0-19-189678-1/ebook). viii, 183 p. (2022).
MSC:  82-01 62-01 92-01 60B20 60Jxx 62C10 62C12 62F15 62M10 68Q32 68T05 68T07 82B20 82B26 82C32 82D60 92-08 94A15 94A16 94A24
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\textit{S. Cocco} et al., From statistical physics to data-driven modelling. With applications to quantitative biology. Oxford: Oxford University Press (2022; Zbl 1526.82001)
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