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Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 11/2019, Volume 81, Issue 5, pp. 839 - 860
Summary We introduce a method for non‐parametric density estimation on geometric networks. We define fused density estimators as solutions to a total variation... 
Total variation | Density estimation | Minimax rates | Fusion penalty | Non‐parametrics | SPARSITY | Non-parametrics | STATISTICS & PROBABILITY | Maximum likelihood estimation | Generalizations | Minimax technique | Sample size | Insurance claims | Optimization techniques | Random variables | Density | Estimators | Optimization | Convergence
Journal Article
Journal of Experimental Marine Biology and Ecology, ISSN 0022-0981, 2008, Volume 366, Issue 1, pp. 56 - 69
Tests for null hypotheses of 'absence of structure' should play an important role in any exploratory study, to guard against interpretation of sample patterns... 
Permutation test | Constrained clustering | Gradient studies | Non-parametric multivariate | Selection bias | SIMPROF | LINKTREE | Matrix correlation | REGRESSION | ASSEMBLAGE | MODEL | GRADIENT | REDUNDANCY | ESTUARY | MARINE & FRESHWATER BIOLOGY | ECOLOGY | Analysis | Ecology
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 4/2014, Volume 107, Issue 2, pp. 177 - 190
Journal Article
International Journal of Osteoarchaeology, ISSN 1047-482X, 03/2016, Volume 26, Issue 2, pp. 255 - 265
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 2006, Volume 27, Issue 7, pp. 773 - 780
We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of... 
Non-parametric density estimation | Background subtraction | On-line density estimation | Gaussian mixture model | non-parametric density estimation | background subtraction | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | on-line density estimation | Algorithms | Universities and colleges | Machine vision | Analysis
Journal Article
Hydrological Processes, ISSN 0885-6087, 01/2016, Volume 30, Issue 1, pp. 135 - 152
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 09/2016, Volume 78, Issue 4, pp. 729 - 754
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 03/2017, Volume 79, Issue 2, pp. 547 - 572
Summary We propose a multi‐resolution scanning approach to identifying two‐sample differences. Windows of multiple scales are constructed through nested dyadic... 
Large‐scale inference | Graphical models | Non‐parametric inference | Hierarchical models | Multiscale inference | Multiplicity | Large-scale inference | Non-parametric inference | NUMBER | POLYA TREE | STATISTICS & PROBABILITY | INFERENCE | Studies | Statistical methods | Scanning | Simulation | Statistics | Flow cytometry | Hypotheses | Partitioning | Decision theory | Inference | Windows (computer programs)
Journal Article
Bulletin of Electrical Engineering and Informatics, ISSN 2089-3191, 03/2018, Volume 7, Issue 1, pp. 63 - 69
Journal Article
Wind Energy, ISSN 1095-4244, 07/2015, Volume 18, Issue 7, pp. 1207 - 1219
Power curves are commonly estimated using the binning method recommended by the International Electrotechnical Commission, which primarily incorporates wind... 
wind turbine | Binning method | power curve | non‐parametric methods | kernel estimation | non-parametric methods | ENERGY & FUELS | ENGINEERING, MECHANICAL | Methods | Air-turbines
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 06/2017, Volume 79, Issue 3, pp. 757 - 777
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 11/2018, Volume 80, Issue 5, pp. 1087 - 1110
Journal Article