Haut PDF Performance in population models for count data, part II: a new SAEM algorithm.
Performance in population models for count data, part II: a new SAEM algorithm.
... of count data from clinical trials using mixed effect analysis has recently become widely ...available for the parameter estimation, including LAPLACE and Gaussian quadrature (GQ), are associated ...
32
Implementation and Evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamics
... enter models in a non-linear fashion; therefore these are most likely to suffer from the poor integral approximation, which was indeed observed in the previous work with severely biased ...
38
saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models
... simulation in lini
al drug development is now well ...whether a single out
ome is onsidered at the end of the study, lini
al trials often olle
t longitudinal data, with ea
h subje
t providing several ...
3
Reconfigurable machining process planning for part variety in new manufacturing paradigms: Definitions, models and framework
... R A C T Conventional machining process planning approaches are ine fficient to handle the process planning complexity induced by part ...is a new process planning approach which has been well ...
15
Realizability algebras II : new models of ZF + DC
... model. In particular, the integers of M are called the standard ...define a realizability model N , with the same set of ...not a model in the usual sense, because its truth values are subsets ...
29
Learning to count: A deep learning framework for graphlet count estimation
... Conclusion In this paper, we point out that, for existing graphlet counting and estimation framework, the cost for repeated computation in testing can be further reduced, if we learn from ...
31
A New Algorithm for Boolean Operations on General Polygons
... Example 1: a two polygons; b associated simplicial chains of polygons after the subdivision process; c result calculated by the Rivero and Feito algorithm; d result calculated by our alg[r] ...
15
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
... with a Zero-Inflated Poisson distribution, and we introduce sparsity in the model thanks to a spike-and-slab approach (Malsiner-Walli & Wagner, 2011) that is based on a two component ...
3
Toward a new paradigm for Type II migration
... as a means to prevent gap-crossing flows, the procedure also profoundly modified the nature of the flow and added complexity to the ...happen in both halves of the ...at a given radius being widely ...
11
A bundle-type algorithm for routing in telecommunication data networks
... results in a constructive way, by establishing appropriate convergence properties of the sequences u and (y(ˆ ˆ u), ˆ x) (the latter being established in §8 ...has a feasible point and let ...
18
A new algorithm for 3-sphere recognition
... problems for groups—survey and reflections, in Algo- rithms and classification in combinatorial group theory (Berkeley, CA, 1989), ...Springer, New York, 1992, ...methods in ...
8
Innovation and training: a dynamic count data model
... include in our model, the distribution of employees by occu- pational categories in order to take into account the employee structure of the ...introduced in the model as the share of workers of one ...
25
The SWAP EUV Imaging Telescope. Part II: In-flight Performance and Calibration
... minutes for more than two ...included in SWAP are a radiation-resistant CMOS-APS detector and a novel onboard data-prioritization ...previously in space, they have never been ...
25
A “big-data” algorithm for KNN-PLS
... A well known issue regarding PLS lies in the difficulty to apprehend ...As a solution, an extension of the method, “KNN-PLS”, was ...on a neighbourhood selection algorithm whose ...
30
A Reproducible Accurate Summation Algorithm for High-Performance Computing
... the best accuracy possible. However, the general use of correctly rounded sums has been considered impracticable since computing the exact sum was deemed to be too costly [8]. We revisit this assumption and show that: ...
3
Data, Models and Theories for Complex Systems: new challenges and opportunities
... sensors in the medium but in the processing of spatial information natively of a spatial ...potential for environ- mental data acquisition and environmental systems ...earlier, a ...
36
A Brief Tutorial On Recursive Estimation With Examples From Intelligent Vehicle Applications (Part II): System Models
... described in section 2. In another set of trials, we used data synthesized according to the CA model (see section ...these data, we applied the KF using the CV model. In other words, we ...
23
A Brief Tutorial On Recursive Estimation With Examples From Intelligent Vehicle Applications (Part II): System Models
... [1], in this article, and potentially in further articles of this series of tutorial, we always prefer simulation to demonstrate the performance of this or that method we ...practice in real ...
23
A computer algorithm for finding new euclidean number fields
... ~C(pj, a) ( j = 1, ... , ?7~}. The algorithm examines each of them, for j = ...any a E A which verify the relations (23), (24), (25),(26) and (27) of proposition (5), then, for ...
17
A new operator splitting algorithm for elastoviscoplastic flow problems
... called a θ-scheme, was pre- sented in this ...resulting in two ...by a fixed point ...to a tensorial linear transport problem, involving the material ...presented in this paper: ...
25
