Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Liu, Xinchao, Hwang, Youngdeok, Phan, Dzung, Klein, Levente, Liu, Xiao, Yeo, Kyongmin |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Optimal Sensor Allocation with Multiple Linear Dispersion Processes
par: Liu, Xinchao, et autres
Publié: (2024)
par: Liu, Xinchao, et autres
Publié: (2024)
A Sparse Beta Regression Model for Network Analysis
par: Stein, Stefan, et autres
Publié: (2020)
par: Stein, Stefan, et autres
Publié: (2020)
An information metric for comparing and assessing informative interim decisions in sequential clinical trials
par: Caruso, G., et autres
Publié: (2025)
par: Caruso, G., et autres
Publié: (2025)
A response-adaptive multi-arm design for continuous endpoints based on a weighted information measure
par: Caruso, Gianmarco, et autres
Publié: (2024)
par: Caruso, Gianmarco, et autres
Publié: (2024)
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
par: Lu, Yu, et autres
Publié: (2026)
par: Lu, Yu, et autres
Publié: (2026)
Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
par: Ren, Rui, et autres
Publié: (2025)
par: Ren, Rui, et autres
Publié: (2025)
Graphical Models and Efficient Inference Methods for Multivariate Phase Probability Distributions
par: Perley, Andrew S., et autres
Publié: (2025)
par: Perley, Andrew S., et autres
Publié: (2025)
Recursive Neyman Algorithm for Optimum Sample Allocation under Box Constraints on Sample Sizes in Strata
par: Wesołowski, Jacek, et autres
Publié: (2023)
par: Wesołowski, Jacek, et autres
Publié: (2023)
Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
par: Pintado, Maria F., et autres
Publié: (2023)
par: Pintado, Maria F., et autres
Publié: (2023)
Revisiting Optimal Allocations for Binary Responses: Insights from Considering Type-I Error Rate Control
par: Pin, Lukas, et autres
Publié: (2025)
par: Pin, Lukas, et autres
Publié: (2025)
Sparse Regression Codes for Secret Key Agreement: Achieving Strong Secrecy and Near-Optimal Rates for Gaussian Sources
par: Athanasakos, Emmanouil M., et autres
Publié: (2025)
par: Athanasakos, Emmanouil M., et autres
Publié: (2025)
Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
par: Moore, Alan, et autres
Publié: (2025)
par: Moore, Alan, et autres
Publié: (2025)
Sparse two-stage Bayesian meta-analysis for individualized treatments
par: Shen, Junwei, et autres
Publié: (2024)
par: Shen, Junwei, et autres
Publié: (2024)
Bind Recovery of Sparse Factor Structures by Signal Cancellation
par: Achim, André
Publié: (2024)
par: Achim, André
Publié: (2024)
Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
par: Cai, Pengfei, et autres
Publié: (2025)
par: Cai, Pengfei, et autres
Publié: (2025)
Estimation of Over-parameterized Models from an Auto-Modeling Perspective
par: Jiang, Yiran, et autres
Publié: (2022)
par: Jiang, Yiran, et autres
Publié: (2022)
Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson's Disease
par: Pal, Samhita, et autres
Publié: (2025)
par: Pal, Samhita, et autres
Publié: (2025)
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
par: Huang, Shimeng, et autres
Publié: (2024)
par: Huang, Shimeng, et autres
Publié: (2024)
Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!
par: Gruber, Luis, et autres
Publié: (2022)
par: Gruber, Luis, et autres
Publié: (2022)
Bernstein Polynomial Processes for Continuous Time Change Detection
par: Cunha, Dan, et autres
Publié: (2025)
par: Cunha, Dan, et autres
Publié: (2025)
Detection of collective and point anomalies at the presence of trend and seasonality
par: Zhang, Yiyin, et autres
Publié: (2025)
par: Zhang, Yiyin, et autres
Publié: (2025)
Detecting Where Effects Occur by Testing Hypotheses in Order
par: Bowers, Jake, et autres
Publié: (2026)
par: Bowers, Jake, et autres
Publié: (2026)
Change Point Detection in Pairwise Comparison Data with Covariates
par: Han, Yi, et autres
Publié: (2024)
par: Han, Yi, et autres
Publié: (2024)
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
par: Park, Kwangmoon, et autres
Publié: (2023)
par: Park, Kwangmoon, et autres
Publié: (2023)
Sharp variance estimator and causal bootstrap in stratified randomized experiments
par: Yu, Haoyang, et autres
Publié: (2024)
par: Yu, Haoyang, et autres
Publié: (2024)
Improving the Balance of Unobserved Covariates From Information Theory in Multi-Arm Randomization with Unequal Allocation Ratio
par: Ma, Xingjian, et autres
Publié: (2023)
par: Ma, Xingjian, et autres
Publié: (2023)
The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
par: Krause, Joshua, et autres
Publié: (2025)
par: Krause, Joshua, et autres
Publié: (2025)
Identification and Inference with Invalid Instruments
par: Kang, Hyunseung, et autres
Publié: (2024)
par: Kang, Hyunseung, et autres
Publié: (2024)
Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models
par: Mosaferi, Sepideh, et autres
Publié: (2025)
par: Mosaferi, Sepideh, et autres
Publié: (2025)
Estimation and Inference for Win Measures with Multiple Ordinal Endpoints Subject to Missingness
par: Liu, Yi, et autres
Publié: (2026)
par: Liu, Yi, et autres
Publié: (2026)
Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
par: Liu, Yi, et autres
Publié: (2026)
par: Liu, Yi, et autres
Publié: (2026)
Sparse group principal component analysis via double thresholding with application to multi-cellular programs
par: Xu, Qi, et autres
Publié: (2026)
par: Xu, Qi, et autres
Publié: (2026)
Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction
par: Zhang, Rongqian, et autres
Publié: (2026)
par: Zhang, Rongqian, et autres
Publié: (2026)
Active Redundancy Allocation Strategy at Component and System Level
par: Modok, Bidhan, et autres
Publié: (2026)
par: Modok, Bidhan, et autres
Publié: (2026)
Inverse Probability Weighting for Recurrent Event Models
par: Sun, Jiren, et autres
Publié: (2025)
par: Sun, Jiren, et autres
Publié: (2025)
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
par: Iong, Daniel, et autres
Publié: (2024)
par: Iong, Daniel, et autres
Publié: (2024)
Lower Ricci Curvature for Efficient Community Detection
par: Park, Yun Jin, et autres
Publié: (2024)
par: Park, Yun Jin, et autres
Publié: (2024)
Z-Dip: a standardized measure for data modality assessment
par: Di Martino, Edoardo, et autres
Publié: (2025)
par: Di Martino, Edoardo, et autres
Publié: (2025)
Network Science in Psychology
par: Sweet, Tracy, et autres
Publié: (2024)
par: Sweet, Tracy, et autres
Publié: (2024)
Mixed-resolution hybrid modeling in an element-based framework
par: Bocan, Kara, et autres
Publié: (2024)
par: Bocan, Kara, et autres
Publié: (2024)
Documents similaires
-
Optimal Sensor Allocation with Multiple Linear Dispersion Processes
par: Liu, Xinchao, et autres
Publié: (2024) -
A Sparse Beta Regression Model for Network Analysis
par: Stein, Stefan, et autres
Publié: (2020) -
An information metric for comparing and assessing informative interim decisions in sequential clinical trials
par: Caruso, G., et autres
Publié: (2025) -
A response-adaptive multi-arm design for continuous endpoints based on a weighted information measure
par: Caruso, Gianmarco, et autres
Publié: (2024) -
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
par: Lu, Yu, et autres
Publié: (2026)