ライフサイエンスコーパス: probability density

1 step followed by integration of a posterior probability density.

2 like correlated parameters and a generalized probability density.

3 like correlated parameters and a generalized probability density.

4 reciprocal PDF and not the HR to model event probability density.

5 on the system's unknown and high-dimensional probability density.

6 neshape averaged over the nuclear wavepacket probability density.

7 hase information, from measured single-state probability densities.

8 ocal hidden variables and a large variety of probability densities.

9 imaging of the macroscopic exciton-polariton probability densities.

10 ed on summed archaeological radiocarbon date probability densities.

11 onstrate that supra-modal representations of probability density across cortex underlie the anticipat

12 ciations between the variables and the joint probability density allows one to ask arbitrary probabil

13 tum scars refer to eigenstates with enhanced probability density along unstable classical periodic or

14 simulated voltage-clamp protocols, both the probability density and Monte Carlo approaches to modeli

15 tive distribution function for the specified probability density and the empirical cumulative distrib

16 probability density, the joint steady-state probability density, and the mean first passage time.

17 deling Ca2+ release unit activity using this probability density approach avoids the computationally

18 We show how the probability density approach described here can be gener

19 The probability density approach is benchmarked and validate

20 The probability density approach is validated for a physiolo

21 The probability density approach shows that such minimal Ca(

22 In prior work, we introduced a probability density approach to modeling local control o

23 We present a probability density approach to modeling localized Ca2+

24 Using the probability density approach, we show that the time scal

25 n finite difference scheme and the resulting probability densities are coupled to ordinary differenti

26 rovides a simple solution for the transition probability density at short times, including drift, sel

27 ed on a Cantor-like set of zero measure: the probability density becomes divergent, almost everywhere

28 observables by multiplication operators and probability densities by density operators (quantum stat

29 However, a probability density calculation can be significantly fas

30 In contrast, the symptom duration probability density curve was not broad, but instead pea

31 ometabolic diseases by comparing the overall probability density curves across township-sex strata.

32 These results demonstrate that this new probability density distribution based method is effecti

33 The angular turning probability density distribution for motile bacteria is

34 ctural models, and uses them to estimate its probability density distribution for quality assessment.

35 tions that convert the local angular turning probability density distribution into a global one.

36 ethod to solve equations describing the full probability density distribution of neuronal membrane po

37 a trivial knot, average gyration radius, and probability density distributions as functions of gyrati

38 We derive joint probability density distributions for three key uncertai

39 ibits an approximately power-law range where probability density drops slowly with each order of magn

40 om data, to sample from them, and to produce probability density estimates.

41 ecific amino acid features combined with one probability density feature from modeling the evolutiona

42 simple and fast method to retrieve accurate probability densities for model parameters using neural

43 p)/4bL+ cdots, three dots, centered ) is the probability density for the end-to-end vector of the fle

44 3d(0)(2)/4l(p)bL)(1 - 5l(p)/4bL +...) is the probability density for the end-to-end vector of the lin

45 rence uses a coalescent model that defines a probability density for the genealogy of randomly sample

46 Recently, it was reported that the probability density for the inter-event time tau between

47 We obtain a probability density for the slip distribution, which var

48 The distributions were then partitioned into probability density fractions according to time interval

49 The number of bins used to estimate the probability density function (pdf) affects the speed and

50 subset of three stations with long records, probability density function (PDF) analyses of the 95% p

51 The probability density function (pdf) and cumulative densit

52 ng of gasoline particulate filters (GPFs), a probability density function (PDF) based heterogeneous m

53 This dynamic HMF model is based on a probability density function (PDF) description of the po

54 size in which an explicit solution of an FPT probability density function (PDF) exists for the first

55 Either an appropriate probability density function (pdf) model for the coeffic

56 on describing the stochastic dynamics of the probability density function (PDF) of barrier elevation

57 Theory for changes in the probability density function (pdf) of precipitation accu

58 To guarantee it, the type of probability density function (pdf) of strength, includin

59 so-called area rule, according to which the probability density function (PDF) of the circulation ar

60 e crucial case of isothermal turbulence, the probability density function (PDF) of the logarithmic de

61 range of their temporal half-widths and the probability density function (PDF) of their widths resem

62 omputation that presupposes knowledge of the probability density function (pdf) of visuo-motor error

63 Gaussian probability density function analysis indicates that sev

64 timator is one that uses (1/m2) as the prior probability density function and a quadratic loss functi

65 Probability density function and covariance comparisons

66 Probability density function and operator variance analy

67 capture observed ENSO statistics such as the probability density function and power spectrum of easte

68 ximate analytic expressions for the animal's probability density function are derived.

69 the scheme are a representation of each new probability density function by means of a set of functi

70 by incorporating a central tendency prior, a probability density function centered at the mean durati

71 The cell population is modeled as a probability density function F(x,t) that depends on cell

72 amework that allows the determination of the probability density function for a stochastic process be

73 licit expression of a reduced global turning probability density function for motile bacteria was der

74 The probability density function for symptom duration was si

75 at of intra-shell edges; and 4) the distance probability density function for the afferent connection

76 We estimate a probability density function for the sensitivity of clim

77 e a general exponential decaying law for the probability density function governing the number of con

78 ffs, are found to be well characterized by a probability density function involving only two paramete

79 Our probability density function is constrained by objective

80 ittency in terms of power availability and a probability density function is further employed to inve

81 f experimental porosimetry data, a pore size probability density function is introduced to represent

82 The joint probability density function is much more informative th

83 and controller and a predefined ideal joint probability density function is used to characterise the

84 FD components were investigated with probability density function modeling and summarized mea

85 A central tenet of this argument is that the probability density function of DNA methylation informat

86 The spatial model produced a posterior probability density function of estimated annual average

87 ose a model of event expectancy based on the probability density function of events.

88 ion and the natural logarithm of mode on the probability density function of happy expression.

89 e increased natural logarithm of mode on the probability density function of neutral facial expressio

90 de) and the natural logarithm of mode on the probability density function of neutral facial expressio

91 ocin on the natural logarithm of mode on the probability density function of neutral facial expressio

92 o a continuous distance map that acts like a probability density function of particle centers.

93 al of a model form for the conditional joint probability density function of predator and prey veloci

94 we derived an integral equation relating the probability density function of source strengths, f alph

95 n each case were evaluated by constructing a probability density function of the action potential dur

96 , we derive an analytical expression for the probability density function of the fraction of vesicle

97 The probability density function of the interspike intervals

98 s to develop a theoretical model that is the probability density function of the morphometric lengths

99 The probability density function of the peak amplitudes of t

100 is showed that microdosimetric spectrum (the probability density function of the stochastic physical

101 -Leibler Divergence between the actual joint probability density function of the system dynamics and

102 Unfortunately, variations in the probability density function often get smoothed over in

103 HALO generates a probability density function over medical codes, clinica

104 form of probability distributions (e.g., the probability density function over the orientation of a c

105 , we estimate the tail exponent alpha of the probability density function P(|R|) approximately |R|(-1

106 The GSI probability density function peaked close to 1 in early

107 tions should be fitted by a t location-scale probability density function rather than by a normal dis

108 Probability density function was fit to the joint distri

109 te have a very wide ranges of values, with a probability density function well approximated by a powe

110 stribution is found to follow a finite-width probability density function with certain skewness which

111 ments (i.e., the whole spectrum modeled as a probability density function).

112 ed as reaction times, approximates the event probability density function, but not hazard rate.

113 ations are shown, including evolution of the probability density function, calculation of closure pro

114 From this probability density function, P-values and confidence in

115 es of any stock market is characterized by a probability density function, which is a simple power la

116 and quantifying gene set activity as a full probability density function.

117 haracterised by strong memory effects in the probability density function.

118 e presented in a manner similar to that of a probability density function.

119 arious moments of the reduced global turning probability density function.

120 ing alpha and beta ranges, encodes the event probability density function.

121 ysema map was calculated based on the fitted probability density function.

122 quantifies gene-set activity with a complete probability density function.

123 tat quality has either a uniform or a linear probability density function.

124 ental plots of mean square displacements and probability density function.

125 i.i.d.) draws does not come from a specified probability density function.

126 observed array-CGH signal as sampling from a probability-density function, uses a kernel-based approa

127 ic disorder with random energy barriers, the probability density functional of the rate coefficient i

128 Probability density functions (pdf) described the variab

129 The probability density functions (PDF) of [PCr] and VO2 flu

130 e differences in the behaviours of the joint probability density functions (PDFs) between second and

131 Results were post-processed to yield probability density functions (PDFs) describing the circ

132 1) MEMLET fits probability density functions (PDFs) for many common dis

133 The cell-age and interdivision-time probability density functions (PDFs) have been extensive

134 stigate both assumptions by presenting event probability density functions (PDFs) in each of three se

135 Analysis of age probability density functions (PDFs) indicate three sign

136 thereby provide compelling evidence that the probability density functions (PDFs) of a fully develope

137 The observed probability density functions (PDFs) of concentrations d

138 dom variables distributed according to joint probability density functions (PDFs).

139 ensity models, such as the Johnson family of probability density functions (PDFs).

140 eatures such as intermittency and fat-tailed probability density functions (PDFs).

141 carried out not on probabilities but on (1) probability density functions and (2) these probability

142 Ensemble-averaged probability density functions and power spectra of the i

143 probability density functions and (2) these probability density functions are derived from samples.

144 Probability density functions fitted to the resulting do

145 Probability density functions for hitting times are eval

146 e-evolution of the moments of the univariate probability density functions for junctional SR [Ca2+] j

147 With the probability density functions for key input parameters d

148 standard statistical tests of the recovered probability density functions for the measured observabl

149 our length for loop formation as well as the probability density functions have been found to be stro

150 Then, we fitted four widely used probability density functions in a Bayesian framework to

151 first peak as well as the first well in the probability density functions increases with the size of

152 Probability density functions obtained for the direct ra

153 After detrending, the probability density functions of dissolved oxygen fluctu

154 Downstream of the ADC, probability density functions of surface displacement ex

155 a new data processing method to extract the probability density functions of the diffusion coefficie

156 simulations results, we show that the joint probability density functions of the second and third in

157 umber, volume, and mass concentrations using probability density functions that represent environment

158 Fitting skew normal probability density functions to our data, we estimate a

159 duced uncorrelated variables in T, where the probability density functions were approximated as norma

160 and single-cell metabolic rates described by probability density functions were randomly generated in

161 mans anticipate future events by calculating probability density functions, rather than hazard rates.

162 ing process and the transformation rules for probability density functions, we develop adjustments fo

163 The resulting probability density functions, which contain the preferr

164 model parameters as quantified by posterior probability density functions, which is useful for compa

165 re are assumed to be distributed by Gaussian probability density functions, whose center peaks are lo

166 and turning angles are typically reported as probability density functions.

167 s are stochastically governed by independent probability density functions; and 2), a finite Hookian

168 Y PET/CT data were combined with microscopic probability-density functions describing microsphere clu

169 Specifically, we find enhanced probability densities in the form of lemniscate infinity

170 It is found that the probability densities in the SAS increase as the peaks i

171 ogical evolution is described by the flow of probability density in this curvature space that is indu

172 deep learning architecture via longitudinal probability densities inferred using Gaussian process re

173 nts (91%; posterior mean, 90.4%; 95% highest probability density interval, 83.8%-96.4%).

174 tion in a localization transition that traps probability density into several disconnected conformati

175 For smoother boundaries, H > 1/2, the probability density is a continuous function of time.

176 e crossover from weak confinement, where the probability density is Boltzmann-like, to strong confine

177 Near the horizon, probability density is elevated at 90 degrees /270 degre

178 Above the horizon, probability density is elevated near 0 degrees slant due

179 to detect discrepancies in regions where the probability density is small in comparison with its valu

180 nsfer)-based assay and extracted the looping probability density known as the J factor (jM).

181 Droplet velocities were estimated and probability density maps for all laser illuminated spray

182 Probability density maps for gray matter and white matte

183 quently, univariate rather than multivariate probability densities may be employed.

184 n the values of the parameters, the lifetime probability density may have one or two peaks.

185 we find that a variational autoencoder-based probability density model showed the best overall perfor

186 elastic collision, can result in an enhanced probability density near boundaries and particle-particl

187 Up-to-date statistics, probability densities of conformations, and sequence pro

188 e calculate and compare averaged equilibrium probability densities of K(+) and Cl(-) in open-pore mod

189 Partition coefficients based on probability densities of the amino acids in each phase h

190 ing dynamics and without the need to compute probability densities of the dynamic variables.

191 oped a methodology to evaluate the posterior probability densities of the response parameter space, a

192 lso derive expressions for the (conditional) probability densities of time spent in the channel by tr

193 e methods the calculation of the coalescence probability density of a genealogy requires a product ov

194 This algorithm computes the probability density of all geometric configurations form

195 roduce two-dimensional spatial images of the probability density of an electron confined in a self-as

196 stem of advection-reaction equations for the probability density of cytosolic and luminal domain [Ca2

197 nction and the power-law distribution of the probability density of dark times imply the dynamic and

198 tion-reaction equations for the multivariate probability density of elevated cytosolic [Ca(2+)] and d

199 We derive the exact probability density of genealogies sampled under the str

200 h is then responsible for an increase in the probability density of secondary electron generation.

201 Here we directly probe the probability density of single quantum states of individu

202 domain) which describes the evolution of the probability density of some tracer particles on the doma

203 n equations for the time-dependent bivariate probability density of subsarcolemmal subspace and junct

204 ions are derived relating the time-dependent probability density of subsarcolemmal subspace and junct

205 stem of advection-reaction equations for the probability density of the domain [Ca(2+)] conditioned o

206 ses of hundreds of percent to >1,000% in the probability density of the largest accumulations that ha

207 The time evolution of the position probability density of the nanoparticle is calculated to

208 However, most experiments capture only the probability density of the nuclear wavepackets to determ

209 vity is inherited and amplified by the joint probability density of the observable data and the proce

210 ep, we find a non-parametric estimate of the probability density of the points and cluster the points

211 e Talbot effect for mDfs exists and that the probability density of the transmitted mDfs waves throug

212 probability and the Laplace transform of the probability density of time that a macromolecule spends

213 each cell can be imagined as sampling from a probability density of times to division and death.

214 uted, and involves inference of the (parent) probability density of unfolding times from the histogra

215 thickness clearly follows the trend of hole probability density on nanocrystal surfaces rather than

216 cue and a visual representation of the prior probability density over locations, which changed on eac

217 l to with the required k-vector matching and probability density overlap.

218 a PERCLOS range of 0 to 1) and average High Probability Density percentage of 62.5%.

219 The probability density plots thus revealed that beta1-integ

220 Upon temperature increase, the probability density pools then flood a larger basin, aki

221 Also the complex form of the high probability density region in the SAS suggests a nonline

222 ets providing largely uneven coverage of the probability density space.

223 entally observable, whereas the other is the probability density that a cell divides at a certain age

224 hase-shifts and amplitude modulations in the probability density that are most pronounced for waves a

225 However, the probability density that they implicitly define is often

226 h and the on/off switch via the steady-state probability density, the joint steady-state probability

227 diversity, community-level overlap of trait probability densities) variables for each site to test h

228 te constants are determined from analysis of probability densities, which allows a much wider range o

229 MGMs consist of a parameterized joint probability density, which implies a network structure o

230 ber waviness develop more complex multimodal probability densities with fat-tailed distributions and