Dynamic Auto-Regression (DAR) and Time-Frequency Analysis
Time frequency analysis of systems with changing dynamic properties
... the analysis of strong earthquake motions and ambient vibrations on the same instrument, with a signal-to-noise ratio of over 100 for typical ambient vibration ...the dynamic properties of these ...
277
FREQUENCY AND REGRESSION ANALYSIS OF HYDROLOGIC DATA
... a time series are missing or are undoubtedly incorrect, one sometimes tries to fill the gaps by interpolation or by inserting average ...an analysis of confidence or in tests of statistical significance, ...
46
Dynamic Analysis of Nonproportional Damping Structural Systems Time and Frequency-Domain Methods
... and Venancio-Filho, F., "A modal superposition pseudo-force method for dynamic analysis of structural systems with nonproportional damping", Earthquake Engineering an[r] ...
8
Point process time–frequency analysis of dynamic respiratory patterns during meditation practice
... robust dynamic identification qualities, and because it is less sensitive to parameter initialization and numerically more stable than other adaptive recursive point process ...allows time increments for ...
27
Multi-frequency scale Gaussian regression for noisy time-series data
... Abstract: Regression using Gaussian process models is applied to time-series data ...different frequency scales, the Gaussian regression methodology is extended through the use of multiple ...
6
Analysis of the Determinants of Innovation in Developing Countries: A Vector Auto-regression Approach
... an analysis of this nature needs a strongly balanced panel to produce effective ...this time period is that of consistency, over the years the methodology and nature of the report has gone through a lot of ...
14
Application of Vector Auto Regression Model for Rainfall-River Discharge Analysis
... using time series data (Kar, Lohani, Goel, & Roy, 2010; Lohani, Kumar, & Singh, ...are auto-regression linier model, multiple linear regressions, moving average and Artificial Neural Network ...
10
Multiple linear regression to estimate time-frequency electrophysiological responses in single trials
... the time-frequency domain, and consist in stimulus-induced decreases (event-related desynchronization, ERD) or increases (event-related synchro- nization, ERS) of synchrony in the activity of the underlying ...
12
A Time-Frequency Analysis of the Coherences of the US Business
... From figure 2 we can see how the importance of these frequencies have changed over time. Basically, their relative importance has halved in the 20 years between 1982 and 2002 7 . That brings the advantage of our ...
46
Bayesian Dynamic Linear Regression Analysis of Infant Growth by Weight
... is dynamic that could not be easily ...and dynamic linear regression ...and dynamic linear regression model was used to explore weight gain of infants incorporating individual and ...
10
Analysis of Freeway Accident Frequency using Multivariate Adaptive Regression Splines
... Traffic Accident Investigation Reports provided by the Ministry of Transportation and Communications (MOTC). The report records detailed information of each accident including the time and location of accident, ...
6
The Comparison and Study of WVD, PWVD, SPWVD Time Frequency Analysis Technologies Based on Observed Dynamic EEG Data
... same time its time-frequency characteristic and focusing property both also maintain ...the time-frequency distribution characteristic of dynamic EEG ...limited frequency ...
7
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures
... movement analysis by using micro-Doppler features [4], ...micro-Doppler analysis is all-weather and unaffected by light conditions and, therefore, is worth investigating for robust HCI ...on dynamic ...
8
Bayesian dynamic tensor regression
... The increasing availability of large sets of time series data with complex structure, such as EEG (e.g., Li and Zhang (2017)), neuroimaging (e.g., Zhou et al. (2013)), two or multidimensional tables (e.g., ...
62
Improving the vector auto regression technique for time-series link prediction by using support vector machine
... For a more detailed discussion, refer to [8]. 2.2 SVM and Imbalanced Datasets Support Vector Machine (SVM) is a well-known learning model that is used mainly for classification and regression analysis. It ...
6
Comparison of hybrid regression and multivariate regression in the regional flood frequency analysis: A case study in Khorasan Razavi province
... a regression equation is plotted between Q ti and A i , b t is the slope of the equation, in other words, it is the coefficient variation of A i ...was time to determine the second parameter of the ...
8
Time-varying sparsity in dynamic regression models
... small regression effects to be aggressively shrunk towards zero under the posterior (see Carvalho et ...of regression coefficients which are sparse (that is most of the regres- sion coefficients have values ...
38
Multivariate time-frequency analysis
... limited time-frequency reso- lution, while using the Hilbert transform requires a narrowband signal, a rather stringent ...synchrony analysis, by decomposing a signal into a set of narrowband AM/FM ...
144
Regression Models for Time Series Analysis
... Observed and predicted weekly filtered total mortality from Model 4... Part II: Binary Time Series[r] ...
60
Time-Frequency Analysis as Probabilistic Inference
... Time-Frequency Analysis as Probabilistic Inference Richard ...of time-frequency analysis framed in terms of probabilistic ...tinct time-frequency components, with ...
13