Zifeng Zhao | DeepAI

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∙ 03/14/2023

High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection

We consider a high-dimensional dynamic pricing problem under non-station...

0 Zifeng Zhao, et al. ∙

∙ 07/25/2022

Change point inference in high-dimensional regression models under temporal dependence

This paper concerns about the limiting distributions of change point est...

0 Haotian Xu, et al. ∙

∙ 05/19/2022

Change-point Detection for Sparse and Dense Functional Data in General Dimensions

We study the problem of change-point detection and localisation for func...

0 Carlos Misael Madrid Padilla, et al. ∙

∙ 05/08/2022

Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence

This paper studies change-point testing for high-dimensional linear mode...

0 Daren Wang, et al. ∙

∙ 04/15/2022

Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction

Dominant researches adopt supervised training for speaker extraction, wh...

0 Zifeng Zhao, et al. ∙

∙ 04/04/2022

Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches

Recently, end-to-end speaker extraction has attracted increasing attenti...

0 Zifeng Zhao, et al. ∙

∙ 12/10/2021

Segmenting Time Series via Self-Normalization

We propose a novel and unified framework for change-point estimation in ...

0 Zifeng Zhao, et al. ∙

∙ 12/01/2020

Functional Linear Regression with Mixed Predictors

We study a functional linear regression model that deals with functional...

0 Daren Wang, et al. ∙

∙ 11/27/2020

Functional Autoregressive Processes in Reproducing Kernel Hilbert Spaces

We study the estimation and prediction of functional autoregressive (FAR...

0 Daren Wang, et al. ∙

∙ 07/09/2020

Time Series Analysis of COVID-19 Infection Curve: A Change-Point Perspective

In this paper, we model the trajectory of the cumulative confirmed cases...

0 Feiyu Jiang, et al. ∙

∙ 10/13/2019

Regression for Copula-linked Compound Distributions with Applications in Modeling Aggregate Insurance Claims

In actuarial research, a task of particular interest and importance is t...

0 Peng Shi, et al. ∙

∙ 08/05/2019

Change-point detection in dynamic networks via graphon estimation

We propose a general approach for change-point detection in dynamic netw...

0 Zifeng Zhao, et al. ∙

∙ 07/16/2019

Alternating Dynamic Programming for Multiple Epidemic Change-Point Estimation

In this paper, we study the problem of multiple change-point detection f...

0 Zifeng Zhao, et al. ∙

∙ 04/12/2019

A Composite Likelihood-based Approach for Change-point Detection in Spatio-temporal Process

This paper develops a unified, accurate and computationally efficient me...

0 Zifeng Zhao, et al. ∙

∙ 05/18/2018

Predictive Modeling of Multivariate Longitudinal Insurance Claims Using Pair Copula Construction

The bundling feature of a nonlife insurance contract often leads to mult...

0 Peng Shi, et al. ∙

∙ 05/09/2018

Semiparametric multivariate D-vine time series model

This paper proposes a novel semiparametric multivariate D-vine time seri...

0 Zifeng Zhao, et al. ∙

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