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However, existing methods for fitting a T-spline over a point cloud are slow.
Bayesian statistics provide powerful numerical methods for fitting population models, particularly when complex mechanistic models are involved.
We will study descriptive methods for spatial point data, models for spatial point processes and methods for fitting them to data.
We describe flexible, powerful likelihood-based methods for fitting these encoding models and then for using the models to perform optimal decoding.
The chapter deals with regression analysis of doubly interval-censored failure-time data by discussing two methods for fitting the proportional hazards model to the data.
This study aims to elaborate on specific computational fluid dynamics (CFD) simulation methods for fitting the flow-pressure curve of a pressure control valve, which is spring-load valve widely used in the automotive fuel supply system.
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A new Bayesian method for fitting evolutionary models to comparative data with intraspecific variation.
The maximum likelihood (ML) method is a recommended method for fitting the GPD to data.
We here propose a nonparametric method for fitting a quadratic regression.
We decide to use the Cstat fit statistic and Nelder-Mead optimization method for fitting this data, which we specify using the set_stat and set_method commands.
Wells and colleague James Booth developed a method for fitting metabolomic data into a statistical model that helped medical colleague Kyu Rhee clarify antibiotics' biological processes.
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