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1 ments (i.e., the whole spectrum modeled as a probability density function).
2 ysema map was calculated based on the fitted probability density function.
3 quantifies gene-set activity with a complete probability density function.
4 tat quality has either a uniform or a linear probability density function.
5 i.i.d.) draws does not come from a specified probability density function.
6 ental plots of mean square displacements and probability density function.
7 haracterised by strong memory effects in the probability density function.
8  and quantifying gene set activity as a full probability density function.
9 e presented in a manner similar to that of a probability density function.
10 arious moments of the reduced global turning probability density function.
11 ing alpha and beta ranges, encodes the event probability density function.
12 and turning angles are typically reported as probability density functions.
13                                     Gaussian probability density function analysis indicates that sev
14 timator is one that uses (1/m2) as the prior probability density function and a quadratic loss functi
15                                              Probability density function and covariance comparisons
16                                              Probability density function and operator variance analy
17 capture observed ENSO statistics such as the probability density function and power spectrum of easte
18  carried out not on probabilities but on (1) probability density functions and (2) these probability
19                            Ensemble-averaged probability density functions and power spectra of the i
20 s are stochastically governed by independent probability density functions; and 2), a finite Hookian
21 ximate analytic expressions for the animal's probability density function are derived.
22  probability density functions and (2) these probability density functions are derived from samples.
23 ed as reaction times, approximates the event probability density function, but not hazard rate.
24  the scheme are a representation of each new probability density function by means of a set of functi
25 ations are shown, including evolution of the probability density function, calculation of closure pro
26 by incorporating a central tendency prior, a probability density function centered at the mean durati
27 Y PET/CT data were combined with microscopic probability-density functions describing microsphere clu
28          The cell population is modeled as a probability density function F(x,t) that depends on cell
29                                              Probability density functions fitted to the resulting do
30 amework that allows the determination of the probability density function for a stochastic process be
31 licit expression of a reduced global turning probability density function for motile bacteria was der
32                                          The probability density function for symptom duration was si
33 at of intra-shell edges; and 4) the distance probability density function for the afferent connection
34                                We estimate a probability density function for the sensitivity of clim
35                                              Probability density functions for hitting times are eval
36 e-evolution of the moments of the univariate probability density functions for junctional SR [Ca2+] j
37                                     With the probability density functions for key input parameters d
38  standard statistical tests of the recovered probability density functions for the measured observabl
39 e a general exponential decaying law for the probability density function governing the number of con
40 our length for loop formation as well as the probability density functions have been found to be stro
41             Then, we fitted four widely used probability density functions in a Bayesian framework to
42  first peak as well as the first well in the probability density functions increases with the size of
43 ffs, are found to be well characterized by a probability density function involving only two paramete
44                                          Our probability density function is constrained by objective
45 ittency in terms of power availability and a probability density function is further employed to inve
46 f experimental porosimetry data, a pore size probability density function is introduced to represent
47                                    The joint probability density function is much more informative th
48  and controller and a predefined ideal joint probability density function is used to characterise the
49         FD components were investigated with probability density function modeling and summarized mea
50                                              Probability density functions obtained for the direct ra
51 A central tenet of this argument is that the probability density function of DNA methylation informat
52       The spatial model produced a posterior probability density function of estimated annual average
53 ose a model of event expectancy based on the probability density function of events.
54 ion and the natural logarithm of mode on the probability density function of happy expression.
55 de) and the natural logarithm of mode on the probability density function of neutral facial expressio
56 ocin on the natural logarithm of mode on the probability density function of neutral facial expressio
57 e increased natural logarithm of mode on the probability density function of neutral facial expressio
58 o a continuous distance map that acts like a probability density function of particle centers.
59 al of a model form for the conditional joint probability density function of predator and prey veloci
60 we derived an integral equation relating the probability density function of source strengths, f alph
61 n each case were evaluated by constructing a probability density function of the action potential dur
62 , we derive an analytical expression for the probability density function of the fraction of vesicle
63                                          The probability density function of the interspike intervals
64 s to develop a theoretical model that is the probability density function of the morphometric lengths
65                                          The probability density function of the peak amplitudes of t
66 is showed that microdosimetric spectrum (the probability density function of the stochastic physical
67 -Leibler Divergence between the actual joint probability density function of the system dynamics and
68                        After detrending, the probability density functions of dissolved oxygen fluctu
69                       Downstream of the ADC, probability density functions of surface displacement ex
70  a new data processing method to extract the probability density functions of the diffusion coefficie
71  simulations results, we show that the joint probability density functions of the second and third in
72             Unfortunately, variations in the probability density function often get smoothed over in
73                             HALO generates a probability density function over medical codes, clinica
74 form of probability distributions (e.g., the probability density function over the orientation of a c
75 , we estimate the tail exponent alpha of the probability density function P(|R|) approximately |R|(-1
76                                    From this probability density function, P-values and confidence in
77      The number of bins used to estimate the probability density function (pdf) affects the speed and
78  subset of three stations with long records, probability density function (PDF) analyses of the 95% p
79                                          The probability density function (pdf) and cumulative densit
80 ng of gasoline particulate filters (GPFs), a probability density function (PDF) based heterogeneous m
81         This dynamic HMF model is based on a probability density function (PDF) description of the po
82 size in which an explicit solution of an FPT probability density function (PDF) exists for the first
83                        Either an appropriate probability density function (pdf) model for the coeffic
84 on describing the stochastic dynamics of the probability density function (PDF) of barrier elevation
85                    Theory for changes in the probability density function (pdf) of precipitation accu
86                 To guarantee it, the type of probability density function (pdf) of strength, includin
87  so-called area rule, according to which the probability density function (PDF) of the circulation ar
88 e crucial case of isothermal turbulence, the probability density function (PDF) of the logarithmic de
89  range of their temporal half-widths and the probability density function (PDF) of their widths resem
90 omputation that presupposes knowledge of the probability density function (pdf) of visuo-motor error
91                                              Probability density functions (pdf) described the variab
92                                          The probability density functions (PDF) of [PCr] and VO2 flu
93 e differences in the behaviours of the joint probability density functions (PDFs) between second and
94         Results were post-processed to yield probability density functions (PDFs) describing the circ
95                               1) MEMLET fits probability density functions (PDFs) for many common dis
96          The cell-age and interdivision-time probability density functions (PDFs) have been extensive
97 stigate both assumptions by presenting event probability density functions (PDFs) in each of three se
98                              Analysis of age probability density functions (PDFs) indicate three sign
99 thereby provide compelling evidence that the probability density functions (PDFs) of a fully develope
100                                 The observed probability density functions (PDFs) of concentrations d
101 ensity models, such as the Johnson family of probability density functions (PDFs).
102 eatures such as intermittency and fat-tailed probability density functions (PDFs).
103 dom variables distributed according to joint probability density functions (PDFs).
104                                      The GSI probability density function peaked close to 1 in early
105 tions should be fitted by a t location-scale probability density function rather than by a normal dis
106 mans anticipate future events by calculating probability density functions, rather than hazard rates.
107 umber, volume, and mass concentrations using probability density functions that represent environment
108                          Fitting skew normal probability density functions to our data, we estimate a
109 observed array-CGH signal as sampling from a probability-density function, uses a kernel-based approa
110                                              Probability density function was fit to the joint distri
111 ing process and the transformation rules for probability density functions, we develop adjustments fo
112 te have a very wide ranges of values, with a probability density function well approximated by a powe
113 duced uncorrelated variables in T, where the probability density functions were approximated as norma
114 and single-cell metabolic rates described by probability density functions were randomly generated in
115 es of any stock market is characterized by a probability density function, which is a simple power la
116                                The resulting probability density functions, which contain the preferr
117  model parameters as quantified by posterior probability density functions, which is useful for compa
118 re are assumed to be distributed by Gaussian probability density functions, whose center peaks are lo
119 stribution is found to follow a finite-width probability density function with certain skewness which

 
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