Zobrazeno 1 - 10
of 382
pro vyhledávání: '"Deng, Xinwei"'
With the extensive use of digital devices, online experimental platforms are commonly used to conduct experiments to collect data for evaluating different variations of products, algorithms, and interface designs, a.k.a., A/B tests. In practice, mult
Externí odkaz:
http://arxiv.org/abs/2407.05400
Regression analysis with probability measures as input predictors and output response has recently drawn great attention. However, it is challenging to handle multiple input probability measures due to the non-flat Riemannian geometry of the Wasserst
Externí odkaz:
http://arxiv.org/abs/2405.11626
As is true of many complex tasks, the work of discovering, describing, and understanding the diversity of life on Earth (viz., biological systematics and taxonomy) requires many tools. Some of this work can be accomplished as it has been done in the
Externí odkaz:
http://arxiv.org/abs/2311.08661
Publikováno v:
Statistica Sinica 2023
The modified Cholesky decomposition is popular for inverse covariance estimation, but often needs pre-specification on the full information of variable ordering. In this work, we propose a block Cholesky decomposition (BCD) for estimating inverse cov
Externí odkaz:
http://arxiv.org/abs/2308.09256
Systems with both quantitative and qualitative responses are widely encountered in many applications. Design of experiment methods are needed when experiments are conducted to study such systems. Classic experimental design methods are unsuitable her
Externí odkaz:
http://arxiv.org/abs/2304.08701
Fog manufacturing can greatly enhance traditional manufacturing systems through distributed Fog computation units, which are governed by predictive computational workload offloading methods under different Industrial Internet architectures. It is kno
Externí odkaz:
http://arxiv.org/abs/2210.04811
In data science, vector autoregression (VAR) models are popular in modeling multivariate time series in the environmental sciences and other applications. However, these models are computationally complex with the number of parameters scaling quadrat
Externí odkaz:
http://arxiv.org/abs/2209.08421
In online experimentation, appropriate metrics (e.g., purchase) provide strong evidence to support hypotheses and enhance the decision-making process. However, incomplete metrics are frequently occurred in the online experimentation, making the avail
Externí odkaz:
http://arxiv.org/abs/2209.06125
A new type of experiment that aims to determine the optimal quantities of a sequence of factors is eliciting considerable attention in medical science, bioengineering, and many other disciplines. Such studies require the simultaneous optimization of
Externí odkaz:
http://arxiv.org/abs/2209.02644
Verification planning is a sequential decision-making problem that specifies a set of verification activities (VA) and correction activities (CA) at different phases of system development. While VAs are used to identify errors and defects, CAs also p
Externí odkaz:
http://arxiv.org/abs/2204.00925