Detecting Markov random fields hidden in white noise
From MaRDI portal
Publication:1750097
DOI10.3150/17-BEJ973zbMath1415.62062arXiv1504.06984OpenAlexW2963544566MaRDI QIDQ1750097
Nicolas Verzelen, Ery Arias-Castro, Gábor Lugosi, Sébastien Bubeck
Publication date: 18 May 2018
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1504.06984
Random fields; image analysis (62M40) Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov processes: estimation; hidden Markov models (62M05)
Related Items
Combinatorial inference for graphical models, Detecting Markov random fields hidden in white noise, Detecting a Path of Correlations in a Network, Property testing in high-dimensional Ising models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimal detection of sparse principal components in high dimension
- Detection of correlations
- Testing temporal constancy of the spectral structure of a time series
- On combinatorial testing problems
- On the detection of changes in autoregressive time series. I: Asymptotics.
- Searching for a trail of evidence in a maze
- Adaptive estimation of stationary Gaussian fields
- Time series: theory and methods.
- Change in autoregressive processes
- Testing and estimating in the change-point problem of the spectral function
- Asymptotically minimax hypothesis testing for nonparametric alternatives. I
- Maximal meaningful events and applications to image analysis
- The multiple change-points problem for the spectral distribution
- Detecting Markov random fields hidden in white noise
- Moment inequalities for functions of independent random variables
- Minimax detection of a signal for \(l^ n\)-balls.
- Non-asymptotic minimax rates of testing in signal detection
- A parametric texture model based on joint statistics of complex wavelet coefficients
- Higher criticism for detecting sparse heterogeneous mixtures.
- Testing for a change in the parameter values and order of an autoregressive model
- Detecting positive correlations in a multivariate sample
- Optimal and fast detection of spatial clusters with scan statistics
- Detection of an anomalous cluster in a network
- Optimal hypothesis testing for high dimensional covariance matrices
- Sparse PCA: optimal rates and adaptive estimation
- Bayesian Texture Segmentation of Weed and Crop Images Using Reversible Jump Markov Chain Monte Carlo Methods
- Near-Optimal Detection of Geometric Objects by Fast Multiscale Methods
- Testing and estimating change-points in time series
- Gaussian Markov Random Fields
- Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency
- Long Range Dependence
- Testing Statistical Hypotheses
- Computer Vision - ECCV 2004
- Contour and texture analysis for image segmentation