Akashi, Fumiya: search on Z-Library

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1

Robust causality test of infinite variance processes

Akashi, Fumiya, Taniguchi, Masanobu, Monti, Anna Clara

Journal:

Journal of Econometrics

Year:

2020

File:

PDF, 368 KB

2020

2

Change-Point Detection in Autoregressive Models with no Moment Assumptions

Akashi, Fumiya, Dette, Holger, Liu, Yan

Journal:

Journal of Time Series Analysis

Year:

2018

Language:

english

File:

PDF, 762 KB

english, 2018

3

A New Look at Portmanteau Tests

Akashi, Fumiya, Odashima, Hiroaki, Taniguchi, Masanobu, Monti, Anna Clara

Journal:

Year:

2017

Language:

english

File:

PDF, 493 KB

english, 2017

4

Self-weighted generalized empirical likelihood methods for hypothesis testing in infinite variance ARMA models

Journal:

Statistical Inference for Stochastic Processes

Year:

2017

Language:

english

File:

PDF, 633 KB

english, 2017

5

[SpringerBriefs in Statistics] Empirical Likelihood and Quantile Methods for Time Series (Efficiency, Robustness, Optimality, and Prediction) ||

Liu, Yan, Akashi, Fumiya, Taniguchi, Masanobu

Year:

2018

Language:

english

File:

PDF, 2.47 MB

english, 2018

6

Empirical likelihood approach toward discriminant analysis for dynamics of stable processes

Journal:

Statistical Methodology

Year:

2014

Language:

english

File:

PDF, 588 KB

english, 2014

7

An empirical likelihood approach for symmetric $\alpha$-stable processes

Akashi, Fumiya, Liu, Yan, Taniguchi, Masanobu

Journal:

Year:

2015

Language:

english

File:

PDF, 253 KB

english, 2015

8

Robust Regression on Stationary Time Series: A Self-Normalized Resampling Approach

Akashi, Fumiya, Bai, Shuyang, Taqqu, Murad S.

Journal:

Journal of Time Series Analysis

Year:

2018

Language:

english

File:

PDF, 176 KB

english, 2018

9

DEVELOPMENT OF RAPID AND ELECTRIC FREE MEASUREMENT METHOD OF GROUNDWATER VELOCITY

ONO, Fumiya, YAMAMOTO, Koichi, AKASHI, Takuya, KANNO, Ariyo, SEKINE, Masahiko

Journal:

Journal of Japan Society of Civil Engineers Ser C (Geosphere Engineering)

Year:

2016

File:

PDF, 1.37 MB

2016

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