[PDF] Top 20 Time Series Analysis Using Transprecision Computing
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Time Series Analysis Using Transprecision Computing
... binary original time series absolute error % result using original implementation (64 bits) result using FlexFloat implementation.. Experiments[r] ... See full document
46
Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis
... A system composed by interacting dynamical elements can be represented by a network, where the nodes represent the elements that constitute the system, and the links account for their interactions, which arise due to a ... See full document
14
Determinación de la cota máxima de inundación en la frontera colombo-ecuatoriana aplicando modelación numérica.
... harmonic analysis, time series of sea level measured in-situ, and the series that were generated from numerical modeling (considering the limited information available of sea level in this ... See full document
14
Analysis of temporal and spatial variation of forest A case of study in northeastern Armenia
... Landsat time series stacks with biennial time ...further analysis they use vegetation change tracker (VCT) algorithm specifically for mapping forest change using Landsat time ... See full document
66
Environmental variables modeling based on remote sensing data using time series analysis: forestry and agricultural applications
... frequent time series of spatially continuous data are essential, as well as efficient tools and advanced techniques for analyzing this ...data time series can be considered a sound ... See full document
175
Time series modeling and synchronization using neural networks
... Time series analysis is an important discipline which deals with the modeling, control and forecast of real-world systems from a set of measured ...linear time series ...then, ... See full document
12
Assessing convergence across the European Union
... descriptive analysis as proposed by the neoclassical theory, using the concepts of β and σ ...across time, along with econometric ...by using panel data or time series: both of ... See full document
70
Time series analysis for business analytics
... level time series and then disaggregate down the forecasts to lower levels using different approaches, normally proration or by ra- tios of every single time series with respect to the ... See full document
188
Hypothesis test for changes in variance using a statistic based in P values in a time series of normal independent observations
... Chapter 1 presents the proposal of this research; chapter 2 presents the literature review in change point and SPC. Chapter 3 contains the theoretical framework necessary to develop this research. Readers with a strong ... See full document
97
Time series clustering using the the total variation distance with applications in Oceanography
... to time series clustering: methods based on comparison of raw data, feature-based methods, where the similarity between time series is gauged through features extracted from the raw data, and ... See full document
23
Analysis of Financial Time Series, Wiley
... a time series is not large in magnitude, but decays slowly, then the series may have long ...absolute series of daily simple returns for the CRSP value- and equal-weighted indexes from July 3, ... See full document
638
Estimating the environmental Kuznets curve for Spain by considering fuel oil prices (1874–2011)
... long time series it is advisable to pay special attention to structural ...Thus, using a trimming of 10% of the observations in each of two subsamples we check a break ...the analysis simple ... See full document
30
Bivariate Functional Archetypoid Analysis: An Application to Financial Time Series
... The convex least squares problems are solved using a penalized version of the non-negative least squares algorithm by Lawson & Hanson (1974). As Cutler & Breiman (1994) claim, this method is quite slow but ... See full document
39
Aceleración de Time-Series sismográficas en Python
... Claramente, con este planificador no se explota todo el paralelismo que ofrece el problema original y, por ello, se emplear´ an otros como el Dynamic o el Guided. Estos dos planificadores presentan un par´ ametro, chunk ... See full document
10
Development of a Distributed System For Real Time Traffic Analysis Using Agents
... The current speed is dependent of the service level of the segment and is the maximum allowed speed at that point in time. Figure 4.5 (a bigger version of this figure can be found at Figure A.3) shows a plot for ... See full document
50
Event-based time series data preprocessing: application to traffic flow time series
... original time series and preprocessing results after different ...The time series illustrated in Figure 3 is an integration of several real traffic flow time ...studied time ... See full document
14
Complexity in physical, living and mathematical systems
... Prime numbers seem to distribute among the natural numbers with no other law than that of chance, however its global distribution presents a quite remarkable smoothness. Such interplay between randomness and regularity ... See full document
184
Weaning Outcome Prediction from Heterogeneous Time Series using Normalized Compression Distance and Multidimensional Scaling
... posed using variables and time series extracted from the monitoring systems, however, monitored data are often non-regularly sampled, hence limiting its use in conventional automatic prediction ... See full document
29
Analysis and design of gateway diversity systems for Very High Throughput Satellites (VHTS)
... attenuation time series, is directly obtained from the implementation of ...with time but if we add the influence of the rain attenuation time series, the C/N is converted to a directly ... See full document
74
A Time series approach for advertising products
... Abstract: The degree of knowledge that each public segment has of a given brand, idea, product or service present in the market (notoriety) of the television commercial is an important factor in order to determine the ... See full document
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