models for stationary time series

... especially for short time series In these models genes in the same cluster were assumed to share similar time domain profile The temporal relationships were also explored via more complex models, ... applications, including bioinformatics and genomics (see, e.g., Glynn et al [19]) Given M time- series observations (tl , xl ), l = 0, , M − 1, where t stands for the time tag and x denotes the ... short time series gene expression data,” Bioinformatics, vol 21, supplement 1, pp i159–i168, 2005 [11] W Zhao, E Serpedin, and E R Dougherty, “Inferring gene regulatory networks from time series...

Ngày tải lên: 22/06/2014, 00:20

... more explicit formulas for Fn (q, t), Hn (q, t), and RCn (q, t) As pointed out earlier, it is sufficient to find a formula for the Frobenius series Garsia and Haiman conjectured such a formula involving ... y-variables We can now form the Frobenius series FDHn (q, t), the Hilbert series HDHn (q, t), and the generating function for the sign character FDHn (q, t)|s1n , as discussed earlier For notational ... analogue of the summation formula (4) the electronic journal of combinatorics 11 (2004), #R68 31 Summation Formula for CHn,k,m (q, t) In this section, we will derive a formula for the generating function...

Ngày tải lên: 07/08/2014, 08:20

... included adequate information for achieving the performance described in the results Results 3.2 Validation statistics 3.1 Evolved MLP models The validation statistics is presented for each model ... for evolving the MLP models 0.16 ð3Þ 0.15 i¼1 2.7 Model evolution runs and validation Finally, the coarse-grained GA with the selected parameters (Section 2.5) was used for evolving the MLP for ... (maximum performance) to (minimum performance) 0.13 0.12 0.11 0.1 50 100 150 Generations Fig Convergences resulting in the evolutionary model design The performance assessment was performed in...

Ngày tải lên: 17/02/2014, 22:20

... in the GAM implementation for time series analyses of pollution and health delayed the review of the National Ambient Air Quality Standard (NAAQS) for PM, as the time series findings were a critical ... smooth functions of time and weather variables to adjust for the time- varying confounders In the last 10 years, many advances have been made in the statistical modelling of time series data on air ... Pollution Study (NMMAPS), which includes time series data from the 90 largest US cities for the period 1987-1994 Key Words: Semiparametric regression, time series, Particulate Matter (PM), Generalized...

Ngày tải lên: 23/03/2014, 00:20

... wavenumber PDF models 254 255 255 256 257 258 259 260 260 261 6.6 Models for conditional diffusion 6.6.1 Some useful constraints 6.6.2 Desirable properties for mixing models 6.6.3 Physical basis for desirable ... hand, for the CSTR model, the largest time scale for the flow will usually be the recirculation time. 12 Typically, the recirculation time will be larger than the largest turbulence integral time ... segregation Molecular-scale mixing RTD theory, zone models multi-environment micromixing models micromixing models, micromixing time turbulence models for scalar transport composition PDF methods conditional...

Ngày tải lên: 01/04/2014, 10:48

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 21/06/2014, 08:20

... sensors This unfortunately imposes a substantial demand for both storage and computational time, as most practical applications require a large number of densely deployed sensors for coverage and ... performance were reached with small model orders For comparison purposes, state-of-the-art kernel-based methods for online prediction of time series were also considered: NORMA [39], Sparse Sequential ... that they deal with models whose order equals the size of the training set, making them unsuitable for online applications Therefore, it was essential to first propose a mechanism for controlling...

Ngày tải lên: 21/06/2014, 17:20

... 100 150 Times 0.05 200 50 (a) 100 150 Times 200 (b) 0.25 0.5 0.2 Normalized frequency Signal Y Intersection frequency −0.5 0.15 0.1 Signal Y −1 50 100 150 Times 0.05 200 50 (c) 100 150 Times 200 ... 400 600 200 400 Ë Ñ Ð (s2 (t), r2 (t)) (e) T 0.5 −0.5 600 Time (b) Ë Ñ Ð (s1 (t), r1 (t)) Time 200 400 600 T −1 200 400 Time (c) 600 Time (f) Figure 8: Similarity measure using SimilB of TSs ... TSs (stationary and nonstationary) show that SimilB performs better than the ED and the CC and show the interest to take into account the relative changes of the TSs Compared to generative models...

Ngày tải lên: 22/06/2014, 19:20

... impact of the intervention on the time series, which will be tested by comparing pre- and postintervention segments of the time series to estimate the magnitude and form of the impact “Impact” on ... room) and estimate the average time that patients wait for their physician, the length of patient visits, and time between visits Second, researchers and an information technologist will conduct ... the autoregressive integrated moving average (ARIMA) approach and timeseries regression models [28,29] We hypothesize that the 26 time- point baseline assessment of practice will show no pre-intervention...

Ngày tải lên: 10/08/2014, 11:20

... biclustering algorithms, specially developed for time series gene expression data analysis such as CCC-Biclustering [9,22] Related Work: Biclustering algorithms for time series gene expression data Although ... Genome Informatics 2004, 15:239-248 Madeira SC, Oliveira AL: A Linear Time Biclustering Algorithm for Time Series Gene Expression Data In Proc of the 5th Workshop on Algorithms in Bioinformatics ... alphabetTransformation(A, Σ) modelsOcc ← {} computeRightMaximalBiclusters(Σ, e, qr, qc, {S1, , S|R|}, modelsOcc) deleteNonLeftMaximalBiclusters(modelsOcc) if e > then deleteRepeatedBiclusters(modelsOcc)...

Ngày tải lên: 12/08/2014, 17:20

... multivariable format (single value) or in a time series format (multiple values) To make this decision, one must evaluate the tradeoff between potentially useful trend information in the time series format ... therefore unable to use time series data While multivariable models prevail in the setting of clinical prediction tools, there are small but growing number of medical models based on time series ... deterioration requires a time series approach The purpose of this study is to propose a method that will allow for time series data to be used in clinical prediction models Successful implementation...

Ngày tải lên: 13/08/2014, 16:20

... logarithm of variables YGNP, REXR, XGNP showed that these variables are trend stationary time series Therefore, for these time series, temporarily, the ordinary least square regression can be applied ... REXR, XGNP in order to consider whether these time series can be applied OLS regression For stationary test, this thesis uses unit root test for all series of above mentioned variables First, Dickey-Fuller ... meaningless In case the series are nonstationary around their averages, the traditional suggestion was to differentiate the series because this transformation may lead to stationary in the series Thus,...

Ngày tải lên: 18/05/2015, 03:46

... types, which makes the adaptive models flexible and universally suitable for both stationary and non -stationary time series Chapter Introduction Though the local adaptive models are desirable with flexibility ... univariate time series framework The direct applications of the local models to multivariate time series involve difficulties, due to the curse of dimensionality When the dimension of time series increases, ... considered as a distinct datum for time points t = 1, , n, they form a time series with n functional objects To study the autoregressive dependence structure of functional time series, one popular approach...

Ngày tải lên: 09/09/2015, 08:11

... EXISTING TESTS FOR DIFFUSION MODELS 16 Chapter Existing Tests For Diffusion Models 2.1 Introduction As mentioned in Chapter 1, most researchers studied continuous -time diffusion models in order ... diffusion models for the spot interest rate We measure the goodness-of-fit of these five models for the interest rate first After that, we present the test statistic and p-values of these diffusion models ... bootstrap based LSEL Test for IID for a set of bandwidth values and their sample sizes of 100, 200 and 500 48 Size of the bootstrap based LSEL Test for the Vasicek model -2 for a set of bandwidth...

Ngày tải lên: 07/10/2015, 10:10