Witten, Daniela
- The Multivariate Hawkes Process in High Dimensions: Beyond Mutual Excitation
2017/07/16 by Shizhe Chen, Chen, Shizhe, Ali Shojaie +5 · 6 citations
Mathematics · Biochemistry, Genetics and Molecular Biology · #Point processes and geometric inequalities #Diffusion and Search Dynamics #Prion Diseases and Protein Misfolding
- Data thinning for convolution-closed distributions
2023/01/18 by Anna Neufeld, Ameer Dharamshi, Neufeld, Anna +5 · 6 citations
Computer Science · Mathematics · #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference
- Statistical Properties of Convex Clustering
2015/03/28 by Tan, Kean Ming, Witten, Daniela · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Learning Graphical Models With Hubs
2014/02/28 by Tan, Kean Ming, London, Palma, Mohan, Karthik +3 · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Revisiting inference after prediction
2023/06/23 by Keshav Motwani, Daniela Witten, Motwani, Keshav +1 · 4 citations
Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Fast Nonconvex Deconvolution of Calcium Imaging Data
2018/02/21 by Jewell, Sean, Hocking, Toby Dylan, Fearnhead, Paul +1 · 2 citations
#Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Methodology (stat.ME) #Neurons and Cognition (q-bio.NC)
- Modeling microbial abundances and dysbiosis with beta-binomial regression
2019/02/07 by Martin, Bryan D., Witten, Daniela, Willis, Amy D. · 2 citations
#FOS: Computer and information sciences #Methodology (stat.ME)
- Generalized Data Thinning Using Sufficient Statistics
2023/03/22 by Dharamshi, Ameer, Neufeld, Anna, Motwani, Keshav +3 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Selective Inference for Hierarchical Clustering
2020/12/05 by Gao, Lucy L., Bien, Jacob, Witten, Daniela · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Node-Based Learning of Multiple Gaussian Graphical Models
2013/03/21 by Karthik Mohan, Mohan, Karthik, Palma London +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Optimization and Control (math.OC)
- The Cluster Graphical Lasso for improved estimation of Gaussian graphical models
2013/07/19 by Tan, Kean Ming, Witten, Daniela, Shojaie, Ali · 1 citation
#FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Selection and Estimation for Mixed Graphical Models
2013/11/01 by Shizhe Chen, Daniela Witten, Chen, Shizhe +3 · 2 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference
- A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning
2025/02/25 by Xu, Zichun, Witten, Daniela, Shojaie, Ali · 5 citations
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Exact Spike Train Inference Via ℓ0 Optimization
2017/03/25 by Jewell, Sean, Witten, Daniela · 1 citation
#Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Neurons and Cognition (q-bio.NC)
- The Multiple Random Dot Product Graph Model
2018/11/29 by Nielsen, Agnes Martine, Witten, Daniela · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Optimal estimation of variance in nonparametric regression with random design
2019/02/27 by Yandi Shen, Chao Gao, Shen, Yandi +5 · 1 citation
Computer Science · Mathematics · #FOS: Mathematics #Machine Learning and Algorithms #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Testing for Association in Multi-View Network Data
2019/09/25 by Gao, Lucy L., Witten, Daniela, Bien, Jacob · 1 citation
#FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Testing for a Change in Mean After Changepoint Detection
2019/10/09 by Jewell, Sean, Fearnhead, Paul, Witten, Daniela · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Sure Screening for Gaussian Graphical Models
2014/07/29 by Shikai Luo, Rui Song, Luo, Shikai +3 · 1 citation
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Modeling and Causal Inference #Bayesian Methods and Mixture Models
- Inferring independent sets of Gaussian variables after thresholding correlations
2022/11/02 by Arkajyoti Saha, Saha, Arkajyoti, Daniela Witten +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Gene expression and cancer classification #Machine Learning (stat.ML) #Methodology (stat.ME)
- Inference on the proportion of variance explained in principal component analysis
2024/02/26 by Perry, Ronan, Panigrahi, Snigdha, Bien, Jacob +1 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Discussion of "Data fission: splitting a single data point"
2024/09/04 by Neufeld, Anna, Dharamshi, Ameer, Gao, Lucy L. +2 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)