Talks

  1. "On the model selection of symmetric alpha-stable processes", 2022.3　埼玉大学 日本数学会
  2.  "Sparse principal component analysis for high-dimensional stationary time series", 2022.3　埼玉大学 日本数学会
  3. "Prediction-based parameter estimation of time series",  2022.3　 早稲田大学 Otsu International Seminar
  4. "Higher order asymptotics of minimax estimators for time series",  2022.3　 早稲田大学 Otsu International Seminar
  5. "Statistical and Topological Inference for Local Granger Causality", 2022.3　早稲田大学 Waseda International Symposium
  6. "Sparse principal component analysis for high-dimensional stationary time series",  2022.3　早稲田大学 Waseda International Symposium
  7. "Homogeneity tests for one-way models with dependent errors under correlated groups",  2022.3　早稲田大学 Waseda International Symposium
  8. "Long-memory log-linear zero-inflated generalized Poisson autoregression for COVID-19 pandemic modeling",  2022.3　早稲田大学 Waseda International Symposium
  9.  "Detection of relevant change in frequency domain", 2021.9　千葉大学（オンライン） 日本数学会
  10.  "Homogeneity tests for one-way models with dependent errors", 2021.9　千葉大学（オンライン） 日本数学会
  11.  "Higher order asymptotics of minimax estimators for time series", 2021.9　千葉大学（オンライン） 日本数学会
  12. "予測誤差に基づく時系列の統計的推測とその応用", 2021.9　長崎大学（オンライン） 統計関連学会連合大会
  13.  "高次元 定常な時系列に対するスパース主成分分析", 2021.9　長崎大学（オンライン） 統計関連学会連合大会
  14.  "周波数領域における顕要変化の検出", 2021.9　長崎大学（オンライン） 統計関連学会連合大会
  15.  "従属誤差を持つ一元配置モデルにおける均一性の検定", 2021.9　長崎大学（オンライン） 統計関連学会連合大会
  16.  "時系列の高次漸近論を考慮したミニマックス推定", 2021.9　長崎大学（オンライン） 統計関連学会連合大会
  17.  "感性工学活用による燃料電池研究価値向上研究",  2021.9 東京電機大学（オンライン） 日本感性工学会大会
  18.  "Statistical and topological inference of the Granger causality (英語)", 2021.3　早稲田大学 Waseda Cherry Blossom Workshop
  19.  "Hypothesis testing for local Granger causality", 2021.3　慶應義塾大学（オンライン） 日本数学会
  20.  "Statistical inference for persistence landscapes of the Granger causality (英語)",  2021.3　早稲田大学 Waseda International Symposium
  21.  "Topological analysis for local Granger causality", 2020.9　熊本大学 日本数学会
  22.  "パーシステントホモロジーによるグレンジャー因果性の可視化", 2020.9　統計関連学会連合大会.
  23. "Statistical Inference for Persistence Landscapes of the Granger Causality", 　2020.3　Waseda Cherry Blossom Workshop
  24.  "Persistence diagram for Granger causality", 2020.3　日本大学 日本数学会
  25. "Statistical Inference for Persistence Landscapes of the Granger Causality", 　2020.2 Waseda International Symposium
  26. Liu, "High dimensional discriminant analysis for time series”, Statistical Topological Data Analysis Workshop, King Abdullah University of Science and Technology, Jan. 2020.
  27. Liu, "Discriminant and cluster analysis of possibly high-dimensional time series”, Waseda Seminar on Time Series & Statistics, Waseda University, Dec. 2019.
  28. Liu, "Statistical Inference for Persistence Landscapes of the Granger Causality”, Waseda Seminar on Time Series & Statistics, Waseda University, Nov. 2019.
  29. Liu, "A bootstrap test for sphericity of time series”, EcoSta 2019, National Chung Hsing University, June 2019.
  30. Liu, "Sphericity test for high-dimensional time series”, Workshop on Causal Inference in Complex Marine Ecosystems, The Institute of Marine Research, June 2019.
  31. Liu, "Prediction-based parameter estimation of time series”, Statistical Methods and Models for Complex Data, University of Sannio, June 2019.
  32. Liu, "Distance-based parameter curve clustering in time series”, Mini Workshop on TDA Time Series and Statistics, Waseda Univ., May 2019.　
  33. Liu, "Testing structure of dependence for high-dimensional time series based on bootstrap”, Workshop on Recent Progress in Time Series, Tohoku Univ., May 2019.
  34. Liu, "A test of missing completely at random in time series”, MSJ, TIT, Mar. 2019,
  35. Liu, “A new perspective of parameter estimation of stationary time series”, Nanzan International Symposium, Nanzan Univ., Oct. 2018.
  36. Dunsmuir and *Liu, “A test for missingness in time series”, Waseda International Symposium, Waseda Univ., Oct. 2018.
  37. *Liu, Tamura and Taniguchi, “Sphericity test for high-dimensional time series”, JJSM, Chuo Univ., Sept. 2018. 
  38. Liu, “From prediction and interpolation problem to parameter estimation problem of time series”, 日本数学会, 岡山大学, 2018年9月.
  39. *Liu, Tamura and Taniguchi, “Sphericity test for high-dimensional time series”, Mathematical Statistics and Stochastic Analysis for Modeling and Analysis of Complex Random Systems, Osaka Univ., May 2018.
  40. *Liu, Tamura and Taniguchi, “Asymptotics of test statistic for sphiericity of high-dimensional time series without diagonalizability condition”, Waseda International Symposium, Waseda Univ., Oct. 2017.
  41. *Akashi, Dette and Liu, “Self-weighted GEL methods for linear hypothesis in infinite variance processes and its application to change point tests”, Waseda International Symposium, Waseda Univ., Oct. 2017. 
  42. *Liu, Nagahata and Taniguchi, “Linear discreminant analysis for high-dimensional time series”, JJSM, Nanzan Univ., Sept. 2017.
  43. Liu, “A test for stationary by copula spectral density”, 日本数学会, 山形大学, 2017年9月.
  44. Liu, Chen, Chan and Taniguchi, “A frequency domain bootstrap for irregularly spaced spatial data”, MSJ, TMU, Mar. 2017.
  45. Liu, “Statistical inference for quantiles in frequency domain”, Keio International Seminar, Keio Univ., Mar. 2017.
  46. Liu, Chen, Chan and Taniguchi, “A frequency domain bootstrap for irregularly spaced spatial data”, Ise-Shima International Seminar, Ise-Shima, Mar. 2017.
  47. Liu, “Robust parameter estimation for irregularly observed stationary process”, Waseda International Symposium, Waseda Univ., Feb. 2017. 
  48. Liu，“Statistical inference for quantiles in frequency domain”, Hokkaido International Symposium, Waseda Univ., Oct. 2016. 
  49. *Liu, Chen, Chan and Taniguchi，“A frequency domain bootstrap for irregularly spaced spatial data”, Waseda International Symposium, Waseda Univ., Oct. 2016. 
  50. *Xue, Liu and Taniguchi, “Robust interpolation problems in Lp”, Waseda International Symposium, Waseda Univ., Oct. 2016. 
  51. Liu, “Quantile tests in frequency domain for sinusoid models”, MSJ, Kansai Univ., Sept, 2016.
  52. *Xue, Liu and Taniguchi, “Robust Interpolation Problems in Lp”, MSJ, Kansai Univ., Sept, 2016.
  53. Liu, “Robust Statistical Analysis on Irregular Time Series Data and Its Asymptotic Theory", JJSM, Kanazawa Univ., Sept. 2016.
  54. Liu, “Statistical Theory for Quantiles in Frequency Domain”, Research Seminar on Statistics and Financial Mathematics, Waseda Univ., July 2016.
  55. Liu, “Box-Cox transformation for variance stabilization of dependent observations”, MSJ, Tsukuba, Mar. 2016.
  56. *Xue, Liu and Taniguchi, “Minimax extrapolation error of predictors”, MSJ, Tsukuba, Mar.2016.
  57. Liu, “Box-Cox transformation and variance stabilization”, Ibusuki International Seminar, Ibusuki, Mar. 2016.
  58. Liu, “Robust parameter estimation for irregularly observed stationary process”, Kumamoto International Symposium, Kumamoto Univ., Mar. 2016.
  59. Liu, Xue and Taniguchi, “Minimax extrapolation error of stationary processes”, Waseda International Symposium, Waseda Univ., Mar. 2016.
  60. Liu, “Variance stabilization and robust permutation tests”, Hakone Seminar, Hakone, Nov. 2015.
  61. Liu, Xue and Taniguchi, “Minimax extrapolation error of predictors”, Waseda International Symposium, Waseda Univ., Nov. 2015.
  62. *Nagahata, Liu, Uchiyama and Taniguchi, “Discriminant and cluster analysis of high-dimensional time series data”, MSJ, Kyoto Sangyo Univ., Sept. 2015.
  63. *Nagahata, Liu, Uchiyama and Taniguchi, “Discriminant and cluster analysis of high-dimensional time series data by a class of disparities”, Project Research Seminar on Financial and Pension Mathematics, Waseda Univ., Jun. 2015.
  64. Liu, “Asymptotic Theory for Minimum Contrast Estimation in Time Series Analysis”, MSJ, Meiji Univ., Mar. 2015.
  65. Liu, “A new class of minimum contrast estimators for parameter estimation in time series”, Miura Statistical Seminar, Miura, Mar. 2015.
  66. Liu, “Empirical likelihood methods for quantile regression with long range dependent errors”, Waseda International Symposium, Waseda Univ., Mar. 2015.
  67. Liu, “Prediction error or interpolation error? A general perspective of parameter estimation in time series analysis”, Technical Univ. of Munich, Feb. 2015.
  68. Liu, “Statistical Inference for Stable Process”, Izu Seminar, Izu, Jan. 2015.
  69. Liu, “Minimum Contrast Estimation for Spectral Densities Based on Exotic Disparity”, Kaken Symposium, Niigata Univ., Oct. 2014.
  70. Liu, “Quantile Estimation in Frequency Domain”, MSJ, Hiroshima Univ., Sept. 2014.
  71. *Suto, Liu and Taniguchi, “Parameter Estimation by a Contrast Function Based on Interpolation Error”, MSJ, Hiroshima Univ., Sept. 2014.
  72. Liu, “Robust Estimation of Frequencies”, Kaken Symposium, Nara Univ. of Education, Sept. 2014.
  73. *Suto, Liu and Taniguchi, “Parameter Estimation by a Contrast Function of Interpolation Error”, Kaken Symposium, Nara Univ. of Education, Sept. 2014.
  74. *Suto, Liu and Taniguchi, “Asymptotic Theory of Parameter Estimation by a Function Based on Interpolation Error”, Project Research Seminar on Financial and Pension Mathematics, Waseda Univ., May 2014.
  75. Liu, “M-estimation in Time Series and Its Applications”, MSJ, Gakushuin Univ., Mar. 2014.
  76. (Poster) “On the Properties of Tail Index Estimators by Self-normalized Method”, Final Results Presentation of Young Researchers, Waseda Univ., Mar. 2014.
  77. Liu, “Tail Index Estimation by Self-normalized Method”, Nishi-Izu Seminar, Nishi-Izu, Mar. 2014.
  78. *Akashi, Liu and Taniguchi, “Empirical Likelihood Ratio for Symmetric Alpha-stable Processes”, Waseda International Symposium, Waseda Univ., Mar. 2014.
  79. Liu, “Generalized Periodogram and Its Statistical Inference for Time Series”, Waseda International Symposium, Waseda Univ., Mar. 2014.
  80. Liu, “Robust Spectral Estimation in Time Series Analysis”, High Dimensional Statistical Analysis and Related Topics, Waseda Univ., Jan. 2014.
  81. (Poster) “On the Properties of Tail Index Estimators by Self-normalized Method”, WINeST Symposium, Waseda Univ., Nov. 2013.
  82. Liu, “Asymptotics for M-Estimators in Time Series”, Kaken Symposium, Kanazawa Univ., Nov. 2013.
  83. Liu, “A New Way to Estimate Tail Index”, MSJ, Ehime Univ., Sept. 2013.
  84. Liu, “The New Class of Estimating Tail Index by Self-normalization”, Bird Meeting, Waseda Univ., Aug. 2013.
  85. Liu, “Asymptotic Moments of Symmetric Self-normalized Sums”, Project Research Seminar on Financial and Pension Mathematics, Waseda Univ., May 2013.
  86. Liu and Taniguchi, “Hypothesis Testing for Vector Stable Processes”, MSJ, Kyoto Univ., Mar. 2013.
  87. Liu, “Introduction to Rank Tests”, Seminar of Physics and Mathematics, Waseda Univ., Apr. 2012.
  88. Liu, “From Probability Distribution to Black-Scholes Model”, Seminar of Physics and Mathematics, Waseda Univ., Dec. 2010.
© YanLiu 2020