Search Results - "scatterplot smoothers"

Utilization of Scatterplot Smoothers to Understand the Environmental Preference of Bigeye Tuna in the Southern Waters off Java-Bali: Satellite Remote Sensing Approach by Setiawati, Martiwi, Tanaka, Tasuku

“…) which is called scatterplot smoothers. This method is the forerunner of GAM and has not yet been applied for fisheries analysis…”
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React Scatterplot Smoothers: Superefficiency through Basis Economy by Beran, Rudolf

“…, and adaptively selecting the candidate estimator that minimizes estimated risk. Applied to one- or higher-way layouts, the REACT method generates automatic scatterplot…”
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Extended exponential criterion: A new selection procedure for scatterplot smoothers by Kou, Shingchang

“…Nonparametric regression, often called smoothing, is widely used in many scientific disciplines as a valuable data analysis method. The use of a smoother…”
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Bayesian Splines by Clifford, Samuel, Low Choy, Samantha

“…This chapter contains sections titled: Introduction Models and methods Case studies Conclusion References…”
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Single index fuzzy neural networks using locally weighted polynomial regression by Hsieh, Jer-Guang, Jeng, Jyh-Horng, Lin, Yih-Lon, Kuo, Ying-Sheng

“…) scatterplot smoother. These estimated activation functions are not necessarily the usual sigmoidal or identity functions…”
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Long-term trends in incidence and risk factors for ischaemic stroke subtypes: Prospective population study of the South London Stroke Register by Wafa, Hatem A., Wolfe, Charles D. A., Rudd, Anthony, Wang, Yanzhong

“…As the average life expectancy increases, more people are predicted to have strokes. Recent studies have shown an increasing incidence in certain types of…”
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Visualization of Genomic Changes by Segmented Smoothing Using an L0 Penalty by Rippe, Ralph C. A., Meulman, Jacqueline J., Eilers, Paul H. C.

“… Their graphical presentation can be enhanced by appropriate smoothing. Existing signal and scatterplot smoothers do not respect segmentation well…”
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CoSmo: A Constrained Scatterplot Smoother for Estimating Convex, Monotonic Transformations by Dole, David

“… Scatterplot smoothers used in nonparametric regression methods have considerable potential to ease the burden of model specification that a researcher would otherwise face in this situation…”
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Partitioning Degrees of Freedom in Hierarchical and Other Richly Parameterized Models by Cui, Yue, Hodges, James S., Kong, Xiaoxiao, Carlin, Bradley P.

“…), that is consistent with definitions for scatterplot smoothers, is interpretable in terms of simple models, and enables control of a fit's complexity by means of a prior distribution on complexity…”
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CoSmo: A Constrained Scatterplot Smoother for Estimating Convex, Monotonic Transformations by Dole, David

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Seroprevalence of varicella in the French population by Khoshnood, Babak, Debruyne, Monique, Lançon, Florian, Emery, Corinne, Fagnani, Francis, Durand, Isabelle, Floret, Daniel

“… IgG concentrations were tested with an indirect enzyme immunoassay. Statistical analyses included use of locally weighted, scatterplot smoothers…”
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Maximum likelihood and non-parametric methods for estimating trawl footrope selectivity by Munro, Peter T., Somerton, David A.

“…When a fish comes in contact with a trawl, the probability of its capture may depend on its size, a process that has been called “contact selection”…”
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Exploring the nature of covariate effects in the proportional hazards model by Hastie, T, Tibshirani, R

“…,...,chi ip are covariate values for the ith individual. The fj(.) are unspecified smooth functions that are estimated using scatterplot smoothers…”
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Visualization of Genomic Changes by Segmented Smoothing Using an L.sub.0 Penalty by Rippe, Ralph C. A, Meulman, Jacqueline J, Eilers, Paul H. C

“… Their graphical presentation can be enhanced by appropriate smoothing. Existing signal and scatterplot smoothers do not respect segmentation well…”
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Visualization of Genomic Changes by Segmented Smoothing Using an L 0 Penalty by Rippe, Ralph C. A., Meulman, Jacqueline J., Eilers, Paul H. C.

“… Their graphical presentation can be enhanced by appropriate smoothing. Existing signal and scatterplot smoothers do not respect segmentation well…”
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Simultaneous Mapping of Multiple Gene Loci with Pooled Segregants by Claesen, Jürgen, Clement, Lieven, Shkedy, Ziv, Foulquié-Moreno, Maria R., Burzykowski, Tomasz

“…The analysis of polygenic, phenotypic characteristics such as quantitative traits or inheritable diseases remains an important challenge. It requires reliable…”
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Bagged Mixtures of Classifiers using Model Scoring Criteria by Conversano, Claudio

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Estimating Transformations for Regression via Additivity and Variance Stabilization by Tibshirani, Robert

“… (alternating conditional expectation) algorithm of Breiman and Friedman (1985). The ACE procedure uses scatterplot smoothers in an iterative fashion to find the maximally correlated transformations of the variables…”
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Evaluation of Laparoscopic Colorectal Resection Among Elderly Individuals With Colorectal Malignancy: A Single-center Retrospective Analysis by Zhang, Yanru, Chen, Tufeng, Yang, Xiaofeng, Li, Yiquan, Lei, Purun

“… Curves of odds ratios (ORs) and CIs for each age were fitted by using a locally weighted scatterplot smoother, and a structural breakpoint was determined by the Chow test to identify a precise cutoff risk age for elderly…”
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APPENDIX C: COMPUTATIONAL DETAILS by Lumley, Thomas

“…This chapter contains sections titled: Linearization Replicate Weights Scatterplot Smoothers Quantiles Bug Reports and Feature Requests…”
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