Bayesian l0‐regularized least squares
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/asmb.2381
Weak signals in high-dimension regression: detection, estimation and prediction.
来源期刊:Applied stochastic models in business and industryDOI:10.1002/ASMB.2340
Good and bad market research: A critical review of Net Promoter Score
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2417
Time series of functional data with application to yield curves
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2443
Nonlocal spatial clustering in automated brain hematoma and edema segmentation
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2431
Using Degradation Models to Assess Pipeline Life
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2489
Quantile forecasting based on a bivariate hysteretic autoregressive model with GARCH errors and time ‐varying correlations
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2479
Large‐scale automated forecasting for network safety and security monitoring
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2436
An interview with Sam C. Saunders
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2429
Bayesian modeling and forecasting of Value‐at‐Risk via threshold realized volatility
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2395
Multivariate asset‐pricing model based on subordinated stable processes
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2446
Is reliability a new science? A paper from the panel session held at the 10th International Conference on Mathematical Methods in Reliability
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2442
A combined filtering approach to high‐frequency volatility estimation with mixed‐type microstructure noises
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2352
Integrative Interaction Analysis using Threshold Gradient Directed Regularization.
来源期刊:Applied stochastic models in business and industryDOI:10.1002/ASMB.2342
Bayesian semiparametric Markov switching stochastic volatility model
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2434
Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel financial extreme value data analytics from natural disasters
来源期刊:Applied Stochastic Models in Business and IndustryDOI:10.1002/ASMB.2400