Talks

Talks-2016

Talks [2016Apr-2017Mar]

April


  • Kengo Kamatani: Reversible Proposal Mcmc in High Dimension, SIAM Conference on Uncertainty Quantification 2016, SwissTech Convention Center, Lausanne, Switzerland, 2016.4.6


June

  • Hiroki Masuda: On Schwarz type model comparison, Dynstoch meeting 2016, University Rennes 2, France, 2016.6.9

  • Masayuki Uchida, Adaptive estimation for small diffusion processes DYNSTOCH Meeting 2016, University Rennes 2, France, 2016.06.09

  • Shoichi Eguchi: Schwarz-type model comparison for LAQ models, The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, Chinese University of Hong Kong, 2016.6.27

  • Hiroki Masuda: On Asymptotics of multivariate non-Gaussian quasi-likelihood, The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong, 2016.6.28

  • Kengo Kamatani: Some properties of the mixed preconditioned Crank-Nicolson algorithm, The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong, China, 2016.6.28

  • Yuma Uehara: Stepwise estimation of ergodic Lévy driven SDE, The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong, 2016.6.28

  • Yusuke Shimizu: Mighty convergence in mixed-rates asymptotics, The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong, 2016.6.30

  • Masayuki Uchida, Hybrid type estimation for diffusion type processes based on high frequency data, The 4th IMS-APRM Chinese University of Hong Kong, China, 2016.06.30


July

  • Masayuki Uchida, Adaptive Bayes estimators for small diffusion processes based on sampled data, 9th World Congress of Probability and Statistics, The Fields Institute, Canada, 2016.07.12

  • Hiroki Masuda: On Asymptotics of multivariate non-Gaussian quasi-likelihood, World Congress in Probability and Statistics, The Fields Institute, Toronto, 2016.7.13


August

  • 江口 翔一: エルゴード的拡散過程の二段階Bayes評価, 統計サマーセミナー2016, サヤン・テラス ホテル&リゾート, 2016.8.9

  • 増田 弘毅: SDE and statistical model assessment, RIMS共同研究「統計的モデリングと予測理論のための統合的数理研究」, RIMS, 2016.8.10


September

  • 上原 悠槙: エルゴード的Lévy駆動型確率微分方程式の係数分離型推定, 統計関連学会連合大会, 金沢大学, 2016.9.5

  • 江口 翔一: エルゴード的拡散過程の二段階Bayes評価, 2016年度統計関連学会連合大会, 金沢大学, 2016.9.5

  • 鎌谷研吾, マルコフ連鎖モンテカルロ法の高次元解析, 日本統計学会, 金沢大学,石川県, 2016.09.06

  • 清水 優祐: 確率微分方程式の正則化推定について, 2016年度統計関連学会連合大会, 金沢大学, 2016.9.6

  • Masayuki Uchida, Bayes type estimators and hybrid estimators for diffusion processes based on reduced data, Advances in Statistics of Random Processes, Universite du Maine, Fracne, 2016.09.08

  • Hiroki Masuda: On regularized estimation of ergodic diffusion process, Advances in Statistics of Random Processes, Workshop in honor of Yury Kutoyants' 70th birthday, Le Mans, 2016.9.8


October

  • Hiroki Masuda: Locally stable regression without ergodicity and finite moments, Hokkaido International Symposium "Recent Developments of Statistical Theory in Statistical Science", Hokkaido University, 2016.10.28

  • Yuma Uehara: Statistical inference for misspecified ergodic Lévy driven stochastic differential equation models, Hokkaido International Symposium "Recent Developments of Statistical Theory in Statistical Science", Hokkaido University, 2016.10.29


November

  • 上原 悠槙: モデル誤特定下におけるLévy型SDEの推測理論, 高精度情報抽出のための統計理論・方法論とその応用, 九州大学, 2016.11.18


December

  • 清水 優祐: 混合収束確率場をもつ正則化推定量の漸近挙動, 第21回情報・統計科学シンポジウム, 九州大学, 2016.12.2

  • Hiroki Masuda: Stepwise estimation and assessment of Lévy driven SDE, CMStatistics 2016 University of Seville, 2016.12.10

  • Masayuki Uchida, Hybrid estimators for discretely observed small diffusion processes, CMStatistics 2016, University of Seville, Spain, 2016.12.10


2017 January

  • Hiroki Masuda: Remarks on Gaussian quasi-likelihood inference for Lévy driven SDE, Asymptotic Statistics and Computations 2017, University of Tokyo, 2017.1.31


2017 February

  • 上原 悠槙: 係数誤特定非正規SDEモデルの統計的推測, JST CREST AIP チャレンジシンポジウム「ビッグデータ利活用のための基盤構築とその応用」, 名古屋工業大学, 2017.2.17

Mathematical statistics and
stochastic analysis for modeling and
analysis of complex random systems

Mathematical statistics and
stochastic analysis for modeling and
analysis of complex random systems

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