Home >> Publications >> Author >> Li, Housen
5. Januar 2019
Multiscale change-point segmentation: beyond step functions
Li H, Guo Q, Munk A
9. Mai 2019
Frame-constrained Total Variation Regularization for White Noise Regression
del Álamo M, Li H, Munk A
16. Februar 2020
Seeded Binary Segmentation: A general methodology for fast andoptimal change point detection
Kovács S, Li H, Bühlmann P, Munk A
28. Mai 2020
NETT: solving inverse problems with deep neuralnetworks
Li H, Schwab J, Antholzer S, Haltmeier M
2. Juni 2020
The essential histogram
Li H, Munk A, Sieling H, Walther G
7. September 2020
Multiple Haplotype Reconstruction from Allele Frequency Data
Pelizzola M, Behr M, Li H, Munk A, Futschik A
16. September 2020
Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)
Kovács S, Li H, Bühlmann P
20. Oktober 2020
Optimistic search strategy: Change point detection forlarge-scale data via adaptive logarithmic queries
Kovacs S, Li H, Haubner L, Munk A, Buhlmann P
13. November 2020
Variational Multiscale Nonparametric Regression: Algorithmsand Implementation
del Alamo M, Li H, Munk A, Werner F

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