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1 ication and encryption is done ex situ and a posteriori.
2 ical identifiability of the proposed model a posteriori.
3 riants with large effect size are selected a posteriori.
4 ccurate by incorporating experimental data a posteriori.
5              Here, the former is addressed a posteriori.
6 at it is advantageous to perform filtering a posteriori.
7 ic models and considered, if at all, only at posteriori.
8 t gene profile and to infer the logic gate a posteriori.
9 ion (3DOSEM) and the 3-dimensional maximum a posteriori (3DMAP).
10                                        The a posteriori accuracy of the predictions suggests the meth
11  the arcopallium posterius (AP), the nucleus posterioris amygdalopallii pars basalis (PoAb) and pars
12                              Indeed, in an a posteriori analysis, the normal weightlifters proved clo
13                                        The a posteriori and in situ approach is general; it can be ap
14 ity to over-fitting by adopting a Bayesian a posteriori approach based on a Laplacian prior in parame
15                  Unlike many other maximum a posteriori approaches, our method offers highly interpre
16                         Using a priori and a posteriori approaches, we constructed dietary patterns f
17             Secondary end points included: a posteriori assessment of the accuracy of the infectious
18               The application of a maximum-a-posteriori Bayesian inference method identified a linear
19  predefined criteria, which were validated a posteriori by an independent adjudication committee.
20 chain, a prediction that could be verified a posteriori by the high-resolution crystal structure of t
21                   This work directly links a posteriori CFD models to postinjection crystallization b
22                        Furthermore, we can a posteriori check whether the autonomy assumptions are va
23                                            A posteriori comparisons indicate that, in the first-centi
24                                            A posteriori-corrected discriminant analysis was able to c
25                       Our straightforward "a posteriori" correction yields clean linear images as can
26 s (equal weights, literature review-based, a posteriori data-based, and weights based on Bayesian ana
27 integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons sh
28 sociation of habitual diet, in the form of a posteriori-derived dietary patterns, and microbiota comp
29  study to investigate associations between a posteriori-derived DP and retinal vessel caliber.
30  of 27.23% derived from recent studies, an a posteriori descriptive and exploratory noninferiority hy
31 ng a reduced number of dietary features, 5 a posteriori dietary patterns based on food groups were be
32   This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous p
33                                      Three a posteriori dietary patterns were derived from factor ana
34 r, and the Dutch Healthy Diet index] and 2 a posteriori dietary patterns.
35 u 2)], and use Bayesian analysis to obtain a posteriori distribution of mu in terms of the data.
36                                 We derived a posteriori DPs using principal component factor analysis
37 ions of the Smoluchowski equation based on a posteriori error estimates.
38 s (-1.7 to 1.8 mg/L), which was lower with a posteriori estimate (-0.7 to 1.8 mg/L).
39 (WTA) models and a Bayesian model, maximum a posteriori estimate (MAP), to determine which predicted
40 mulation can be used for obtaining maximum a posteriori estimates from models or optimization problem
41 -4), which has resulted in a wide range of a posteriori estimates of flux.
42                      We calculated maximum a posteriori estimates of song spectrograms using a genera
43 sponding one-dimensional family of maximum a posteriori estimates that interpolate smoothly between t
44 tainty quantification by computing maximum a posteriori estimates, or quantify the uncertainty at hig
45 ential functions in the MRF so its maximum a posteriori estimation can be reduced to the well-known m
46 e of transforms of an atlas, and a maximum a posteriori estimation framework.
47 or global sensitivity analysis and maximum a posteriori estimation in a synthetic metabolic network p
48          Further, as an extension, maximum a posteriori estimation is provided.
49  be used as a structured prior for maximum a posteriori estimation of neural activity patterns, which
50 o segment the minimum distance and maximum a posteriori estimation to infer de novo CNVs from the seg
51      Coupled with segmentation and maximum a posteriori estimation, our algorithm compares favorably
52 at robustness by using a priorless maximum a posteriori estimator and at efficiency by a dynamic prog
53                       We propose a maximum a posteriori estimator based on composite likelihood (MAPC
54                      The shift from mostly a posteriori explanation to increasingly a priori risk pre
55 her, our model allows us to give plausible a posteriori explanations for features of natural networks
56            Quantitative analysis ruled out a posteriori explanations for the vesicles with low releas
57 H sensors that can be efficiently modified a posteriori for specific applications.
58 nd used to construct coexpression networks a posteriori, for which regulators were predicted based on
59 eration consortia efforts, which comprised a posteriori harmonization of exposure data and the inclus
60 on (blood flow) were essentially evaluated a posteriori, i.e. after generating a hollow network, bloo
61 sion (FL; FL score [FS]) uptake and tested a posteriori in uni- and multivariable analyses for their
62 del properties in the absence of data) and a posteriori (in the context of a particular dataset) use-
63 analyze the parametric behavior of maximum a posteriori inference calculations for graphical models.
64 thm that provably reaches the MAP (maximum a posteriori) inference solution, but does so using sparse
65 ted error values around double that of the a posteriori inverse squared model, and so the use of popu
66                                    For the a posteriori inverse squared model, the root mean squared
67                                            A posteriori, it turned out that the patients in these two
68 which targets to interrogate offline using a posteriori knowledge such as prior observation, identifi
69 al models that learn via an online maximum a posteriori learning algorithm could provide such an appr
70 l alleviates the drawbacks of MAP (maximum a posteriori log likelihood) scores.
71 on and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correction.
72 on process of parameters through a maximum a posteriori (MAP) Bayesian method to facilitate the metho
73              We obtained very high Maximum a Posteriori (MAP) classification with a mixture of 12 dif
74                                    Maximum a posteriori (MAP) common secondary structures, sequence a
75 the two modalities compared to the maximum a posteriori (MAP) estimator.
76             A moving detector with Maximum a Posteriori (MAP) further achieved radiation position loc
77 he time-frequency plane that yield maximum a posteriori (MAP) spectral estimates that are continuous
78 ucted with the fully 3-dimensional maximum a posteriori method, and CT images were reconstructed with
79 th 2 hybrid methods with those obtained by a posteriori methods and compare associations of these pat
80                                        Two a posteriori methods were used to extract Western and prud
81 linear time using forward-backward maximum-a-posteriori methods.
82 n-based models (Poon, Gesche and Fung) and a posteriori models (inverse linear, inverse squared and l
83 ort specific, and this study was performed a posteriori on individuals who were genotyped.
84 ugh this matrix has more missing data, our a posteriori partitioning strategy reduced the possibility
85                           Such a data-driven posteriori pattern faces low efficiency, ambiguous orien
86           We demonstrated that global-diet a posteriori patterns were more associated with gut microb
87  we demonstrate that the Pointwise Maximum a posteriori (PMAP) HMM decoding procedure yields improved
88               The method follows a maximum a posteriori principle to form a novel network score that
89 reconstruction algorithm utilizing maximum-a-posteriori principles and integrating the statistical pr
90 (PRSSA) was developed based on the maximum a posteriori probability (MAP) estimate.
91 zed data to determine the critical maximum a posteriori probability (MAP) values for statistical sign
92 ion maximization and 3-dimensional maximum a posteriori probability (MAP3D) algorithms.
93 ance to the set of samples chosen from the a posteriori probability distribution of transcription fac
94 CIt, a software system that calculates the a posteriori probability distribution on the number of con
95 one plasma concentrations by using maximum a posteriori probability estimation; we evaluated covariat
96    The software is also capable of maximum a posteriori probability image estimation (MAP-SIM), an al
97     The idealization is sought to maximize a posteriori probability of the state sequence correspondi
98 ability', was computed; the mean value of 'a posteriori probability' for HRCT was 0.6358.
99 e predictive capability, as two values of 'a posteriori probability', was computed; the mean value of
100 er Midwest in 2009 were 2.9 Tg, 61% lower (a posteriori scale factor of 0.39) than our a priori predi
101                                            A posteriori scale factors for the U.S. anthropogenic CO s
102 d, they can be used as a spectrum-adapted, a posteriori score for database search.
103 e posterior tuberculum, and nucleus recessus posterioris showed distinct CARTp-immunoreactivity.
104           Finally, we propose a new concept, posteriori signal-to-noise ratio (p-SNR), to assign cert
105 hat best "explains" it, called the maximum a posteriori skeleton.
106 bSampler, a Python library and toolkit for a posteriori subsampling of data from multiple trajectorie
107 f freedom allowing the parties to convert, a posteriori, the two-mode correlations of the eavesdroppi
108 ssing the problem of antibiotic resistance a posteriori to a concept of a priori estimating, and acti
109 egories of individuals that were predicted a posteriori to be dispersers (adult males) and philopatri
110      Our scalable framework can be applied a posteriori to existing cytometry datasets or incorporate
111                  We use family information a posteriori to select only the most reliable CNV regions,
112 mizing pairing assignments a priori and/or a posteriori to the trial using both genetic and demograph
113 work, and not necessarily implying only an a posteriori transformation of exclusively molecular-based
114  logistical convenience, the concept of an a posteriori treatment recommends itself to be evaluated i
115 ough this Edisonian approach is useful for a posteriori understanding of the factors governing assemb
116 lative to the use of partitions identified a posteriori using a Bayesian mixture model.
117  Antibiotic appropriateness was determined a posteriori using a classification algorithm developed ac
118 c episodes have been clinically classified a posteriori using preset criteria.
119  precluding the need to compute the latter a posteriori via numerical integration.
120                        Using course grades a posteriori, we explore differences in behavior between h
121                                            A posteriori, we show that the estimated feature field is
122  reduce BC risk in postmenopausal females; a posteriori Western/Meat/Alcohol dietary patterns may inc

 
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