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Applying statistical modeling strategies to sparse datasets in synthetic chemistry. [PDF]
Sci AdvThe application of statistical modeling in organic chemistry is emerging as a standard practice for probing structure-activity relationships and as a predictive tool for many optimization objectives.
Haas BC, Kalyani D, Sigman MS.
europepmc +2 more sources
Statistical Modeling of Spatially Stratified Heterogeneous Data [PDF]
Annals of the American Association of Geographers, 2022 Spatial statistics is an important methodology for geospatial data analysis. It has evolved to handle spatially autocorrelated data and spatially (locally) heterogeneous data, which aim to capture the first and second laws of geography, respectively ...
Jin-Feng Wang +9 more
semanticscholar +1 more source
Bayesian Joint Modeling Analysis of Longitudinal Proportional and Survival Data
Mathematics, 2023 This paper focuses on a joint model to analyze longitudinal proportional and survival data. We utilize a logit transformation on the longitudinal proportional data and employ a partially linear mixed-effect model. With this model, we estimate the unknown
Wenting Liu +3 more
doaj +1 more source
An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2020 Speaker identity is one of the important characteristics of human speech. In voice conversion, we change the speaker identity from one to another, while keeping the linguistic content unchanged.
Berrak Sisman +3 more
semanticscholar +1 more source
Non-Parametric Non-Inferiority Assessment in a Three-Arm Trial with Non-Ignorable Missing Data
Mathematics, 2023 A three-arm non-inferiority trial including a placebo is usually utilized to assess the non-inferiority of an experimental treatment to a reference treatment.
Wei Li, Yunqi Zhang, Niansheng Tang
doaj +1 more source
Statistical Modeling for Spatial Groundwater Potential Map Based on GIS Technique
Sustainability, 2021 In arid and semi-arid lands like Iran water is scarce, and not all the wastewater can be treated. Hence, groundwater remains the primary and the principal source of water supply for human consumption.
A. Azma +6 more
semanticscholar +1 more source
High-Dimensional Variable Selection for Quantile Regression Based on Variational Bayesian Method
Mathematics, 2023 The quantile regression model is widely used in variable relationship research of moderate sized data, due to its strong robustness and more comprehensive description of response variable characteristics.
Dengluan Dai, Anmin Tang, Jinli Ye
doaj +1 more source
Robust Estimation for Semi-Functional Linear Model with Autoregressive Errors
Mathematics, 2023 It is well-known that the traditional functional regression model is mainly based on the least square or likelihood method. These methods usually rely on some strong assumptions, such as error independence and normality, that are not always satisfied ...
Bin Yang +3 more
doaj +1 more source
Italian National Conference on Sensors, 2021 In-class teaching evaluation, which is utilized to assess the process and effect of both teachers’ teaching and students’ learning in a classroom environment, plays an increasingly crucial role in supervising and promoting education quality.
Junqi Guo +4 more
semanticscholar +1 more source
Mathematics, 2022 Various approaches including hypothesis test and confidence interval (CI) construction have been proposed to assess non-inferiority and assay sensitivity via a known fraction or pre-specified margin in three-arm trials with continuous or discrete ...
Niansheng Tang, Fan Liang
doaj +1 more source