Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Submitted to the Annals of Statistics CHANGE-POINT DETECTION IN MULTINOMIAL DATA WITH A LARGE NUMBER OF CATEGORIES By
Optimal detection of changepoints with a linear computational cost
Multinomial goodness-of-fit tests for logistic regression models
Identifying localized changes in large systems: Change-point detection for biomolecular simulations
A unifying framework for detecting outliers and change points from non-stationary time series data
A Martingale Framework for Detecting Changes in Data Streams by Testing Exchangeability
Categorical Data Analysis
Bayesian changepoint and time-varying parameter learning in regime switching volatility models
Categorical Data Analysis: Away from ANOVAs (transformation or not) and towards Logit Mixed Models
A unifying framework for detecting outliers and change points from time series
An Optimization Model for Outlier Detection in Categorical Data
An information-theoretic approach to detecting changes in multi-dimensional data streams
Revisiting Classifier Two-Sample Tests
Detecting gradual changes from data stream using MDL-change statistics
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes
Some methods for classification and analysis of multivariate observations
A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors
Information-Theoretic Outlier Detection for Large-Scale Categorical Data
Statistically Significant Detection of Linguistic Change
On the Trivariate Non-Central Chi-Squared Distribution
Reverse Brazil nut problem: competition between percolation and condensation.
Analysis of changepoint models.
Towards an spiking deep belief network for face recognition application
The Sheaf-Theoretic Structure Of Non-Locality and Contextuality
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network