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SUGASAWA, Shonosuke
145  Ergebnisse:
Personensuche X
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1

Robust inference methods for meta‐analysis involving influe..:

Noma, Hisashi ; Sugasawa, Shonosuke ; Furukawa, Toshi A.
Statistics in Medicine.  , 2024
Link: https://doi.org/10.1002/..
 
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2

Locally adaptive spatial quantile smoothing: Application to..:

Onizuka, Takahiro ; Hashimoto, Shintaro ; Sugasawa, Shonosuke
Spatial Statistics.  59 (2024)  - p. 100793 , 2024
Link: https://doi.org/10.1016/..
 
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3

Fully Data-Driven Normalized and Exponentiated Kernel Densi..:

Imai, Shunsuke ; Koriyama, Takuya ; Yonekura, Shouto..
Journal of Business & Economic Statistics.  , 2024
Link: https://doi.org/10.1080/..
 
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4

Sub‐Model Aggregation for Scalable Eigenvector Spatial Filt..:

Murakami, Daisuke ; Sugasawa, Shonosuke ; Seya, Hajime.
Geographical Analysis.  , 2024
Link: https://doi.org/10.1111/..
 
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5

Posterior robustness with milder conditions: Contamination ..:

Hamura, Yasuyuki ; Irie, Kaoru ; Sugasawa, Shonosuke
Statistics & Probability Letters.  210 (2024)  - p. 110130 , 2024
Link: https://doi.org/10.1016/..
 
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6

Hedonic real estate price estimation with the spatiotempora..:

Muto, Sachio ; Sugasawa, Shonosuke ; Suzuki, Masatomo
Journal of Spatial Econometrics.  4 (2023)  1 - p. , 2023
Link: https://doi.org/10.1007/..
 
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7

General Mixed-Effects Models and BLUP:

, In: Mixed-Effects Models and Small Area Estimation; SpringerBriefs in Statistics,
Sugasawa, Shonosuke ; Kubokawa, Tatsuya - p. 5-22 , 2023
Link: https://doi.org/10.1007/..
 
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8

Fast and locally adaptive Bayesian quantile smoothing using..:

Onizuka, Takahiro ; Hashimoto, Shintaro ; Sugasawa, Shonosuke
Statistics and Computing.  34 (2023)  1 - p. , 2023
Link: https://doi.org/10.1007/..
 
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9

Hypothesis Tests and Variable Selection:

, In: Mixed-Effects Models and Small Area Estimation; SpringerBriefs in Statistics,
Sugasawa, Shonosuke ; Kubokawa, Tatsuya - p. 57-66 , 2023
Link: https://doi.org/10.1007/..
 
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10

Mixed-Effects Models and Small Area Estimation 

JSS Research Series in Statistics
Sugasawa, Shonosuke ; Kubokawa, Tatsuya - 1st ed. 2023 . , 2023
Link: https://doi.org/10.1007/..
 
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11

Gibbs Sampler for Matrix Generalized Inverse Gaussian Distr..:

Hamura, Yasuyuki ; Irie, Kaoru ; Sugasawa, Shonosuke
Journal of Computational and Graphical Statistics.  , 2023
Link: https://doi.org/10.1080/..
 
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12

Extensions of Basic Small Area Models:

, In: Mixed-Effects Models and Small Area Estimation; SpringerBriefs in Statistics,
Sugasawa, Shonosuke ; Kubokawa, Tatsuya - p. 99-121 , 2023
Link: https://doi.org/10.1007/..
 
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13

Adaptation of the tuning parameter in general Bayesian infe..:

Yonekura, Shouto ; Sugasawa, Shonosuke
Statistics and Computing.  33 (2023)  2 - p. , 2023
Link: https://doi.org/10.1007/..
 
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14

Improved methods to construct prediction intervals for netw..:

Noma, Hisashi ; Hamura, Yasuyuki ; Sugasawa, Shonosuke.
Research Synthesis Methods.  14 (2023)  6 - p. 794-806 , 2023
Link: https://doi.org/10.1002/..
 
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15

Locally adaptive Bayesian isotonic regression using half sh..:

Okano, Ryo ; Hamura, Yasuyuki ; Irie, Kaoru.
Scandinavian Journal of Statistics.  51 (2023)  1 - p. 109-141 , 2023
Link: https://doi.org/10.1111/..
 
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