Piotr Fryzlewicz

Statistics and Probability · 2004–2016

A researcher in the Science corpus: 9 papers; trusts 73 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 69 citations into it; #1,066 of 12,932 by trust here, #3,801 by citations
• Economics and Econometrics — 55 citations into it; #8,698 of 23,481 by trust here, #12,781 by citations
• Finance — 46 citations into it; #3,710 of 10,518 by trust here, #4,858 by citations
• Artificial Intelligence — 12 citations into it; #3,488 of 35,345 by trust here, #15,866 by citations
• Control and Systems Engineering — 12 citations into it
• Management Science and Operations Research — 11 citations into it
• Signal Processing — 10 citations into it; #452 of 7,572 by trust here, #2,816 by citations
• Molecular Biology — 9 citations into it

Whom Piotr Fryzlewicz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stéphane Mallat
2. Liudas Giraitis
3. Michael W. Mahoney
4. Adam B. Olshen
5. Thomas Mikosch
6. Jushan Bai
7. Marc Lavielle
8. Haeran Cho
9. David L. Donoho
10. Ingrid Daubechies

Who trusts Piotr Fryzlewicz overall

1. Haeran Cho
2. Charles Truong
3. Holger Dette
4. Philip Preuss
5. Laurent Oudre
6. Mengjia Yu
7. B. Eichinger
8. Michael Vogt
9. Daren Wang
10. Nicolas Vayatis

Papers from Piotr Fryzlewicz's perspective

Ordered by how strongly the researchers Piotr Fryzlewicz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Spline Models for Observational Data
6. Estimating the Dimension of a Model
7. Model selection and estimation in regression with grouped variables
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• A Haar-Fisz Algorithm for Poisson Intensity Estimation (2004) — 176 citations
• Normalized least-squares estimation in time-varying ARCH models (2008) — 73 citations
• Wild binary segmentation for multiple change-point detection (2014) — 756 citations
• Unbalanced Haar Technique for Nonparametric Function Estimation (2007) — 78 citations
• A Haar-Fisz technique for locally stationary volatility estimation (2006) — 83 citations
• Mixing properties of ARCH and time-varying ARCH processes (2011) — 53 citations
• Simultaneous multiple change-point and factor analysis for high-dimensional time series (2016) — 106 citations
• Multiple‐change‐point detection for high dimensional time series via sparsified binary segmentation (2015) — 404 citations
• The Dantzig Selector in Cox's Proportional Hazards Model (2009) — 54 citations