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Multidisciplinary combination of rock-physics, seismic attributes, sedimentological information and spatial statistical modeling techniques.
Machine learning is a general term for a broad set of statistical modeling techniques.
I am an atmospheric scientist, and model engineer, using state-of-the-art physical and statistical modeling techniques to study the relationships between anthropogenic emissions and their impacts.
However, a series of successes have been achieved in recognizing a relatively small set of objects or concepts within specific domains based on learning and statistical modeling techniques.
We develop and use dynamical and statistical modeling techniques to simulate and forecast the variability, seasonality and transmission of infectious agents.
This paper addresses these challenges and proposes a new architecture that combines a cloud-based WBANs with statistical modeling techniques in order to provide a secure storage infrastructure and optimize the real-time user query processing in terms of energy minimization and query latency.
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With an advanced statistical modeling technique, introduced for the first time in this study, the scientists then described in detail how the immune system changes throughout pregnancy.
Structural equation modeling is a very general, chiefly linear, chiefly cross-sectional statistical modeling technique.
RSM is an empirical statistical modeling technique employed for multiple regression analysis using quantitative data obtained from properly designed experiments to solve multivariate equations simultaneously [23, 28, 29].
Structural Equation Models [ 3, 4] provide a general statistical modeling technique to estimate and test functional relationships among traits, which are often not revealed by standard linear models.
Latent class analysis (LCA) is an increasingly popular statistical modeling technique used to uncover heterogeneity in response patterns or clinical characteristics within a population.
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