summarizing neonatal time series data

... that summarizes physiological time series. 1 Introduction Time series data is ubiquitous — any measure- ment humans make over a period of time pro- duces a time series. We are building a system ... turbines. • This knowledge, however, can be inte- grated into standard data analysis algo- 168 Summarizing Neonatal Time Series Data Somayajulu G. Sripada, Ehud Reiter, Jim Hunter and Jin Yu Department ... applied to summarizing many types of time series data. References Sarah Boyd. 1998. TREND: a system for generating intelli- gent descriptions of time series data. In Proceedings of the IEEE International...

Ngày tải lên: 22/02/2014, 02:20

... this paper we are interested in real-valued time series denoted by y(t), t = 1,2, . . . . n, where t is a time variable. It is assumed that the time series can be modeled mathematically, where ... last change-point was detected at time tk-1. At time tl, the algorithm starts by collecting enough data to fit the regression model. Suppose at time tj a new data point is collected. The candidate ... in using data- mining techniques to extract interesting patterns from time series data generated by sensors monitoring temporally varying phenomenon. Most work has assumed that raw data is somehow...

Ngày tải lên: 16/03/2014, 19:20

... data supports the OLS assumptions (2.9). Note that the heteroskedasticity problem should be found in cross- section data, as well as cross-section over times and panel data, and not only in time series ... GARCH variance series 436 8.5.1 General GARCH variance series for the GARCH/TARCH model 436 8.5.2 General GARCH variance series for the EGARCH model 437 8.5.3 General GARCH variance series for the ... window. 30 Time Series Data Analysis Using EViews in the Equation specification window. Its corresponding AR(1) model can be easily found as in the previous examples, by entering the following series: logðm 1 Þc...

Ngày tải lên: 30/03/2014, 04:21

... BY COMPARING TREES 3.1 Markov models 3.2 Suffix Trees Finding Surprising Patterns in a Time Series Database in Linear Time and Space Eamonn Keogh Stefano Lonardi Bill ‘Yuan-chi’ Chiu Department of Computer ... 5 10 15 20 25 30 35 40 45 50 20 20.2 20.4 20.6 20.8 21 21.2 21.4 21.6 21.8 22 2. DISCRETIZING TIME SERIES Tarzan TSA-Tr ee IMM 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045 0.05 128 256 512...

Ngày tải lên: 30/03/2014, 13:20

Ngày tải lên: 21/06/2014, 17:20

Ngày tải lên: 22/06/2014, 19:20

Ngày tải lên: 22/06/2014, 19:20

... kèm Các Phương Pháp Thống Kê (Statistical Method) đối với Chuỗi Thời gian Kinh tế (Economic Time Series) Trích từ tài liệu: The Bank of Sweden Prize in Economic Sciences in Memory of Alfred ... dịch chuyển theo các hướng khác nhau trong ngắn hạn). Tính hay biến đổi của thời gian và ARCH (Time- Varying Volatility and Arch) Đánh giá nguy cơ là điểm cốt lõi của các hoạt động về thị trường...

Ngày tải lên: 23/01/2014, 23:20

... fluctuation). The data from the years 1996– 1998 was used as training data and data from the year 1999 as model validation data. This approach was computationally expensive due to long training times of NN ... the most polluted parts of the city. 2.1.2. Meteorological data The pre-processed meteorological data, based on a combination of the data from synoptic stations at Helsinki–Vantaa airport (about ... Schlink et al. (2003). The purpose of data imputation was to allow a consistent and fair model comparison exercise. 2.1.1. Concentration data The concentration data comprised the hourly con- centration...

Ngày tải lên: 17/02/2014, 22:20

... 1%) preliminary understating of the time behavior of the series. Fig.1. shows time series plot of selected time series air pollution concentration. This Figure shows different time behavior of air pollutants. ... pollution time descriptive analysis is of rather limited value due to the large variability associated with air quality data through time (Salcedo, et al., 1999). Time series analysis A time series ... indicates synchronous time fluctuations of air pollutants. The different time correlation behavior of the pollutants is further discussed in section 3.3. Time series results The first step in time series analysis...

Ngày tải lên: 15/03/2014, 20:20

... 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 ... the GAM implementation for time series anal- yses 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 ... of time series data make risk estimation challenging, requiring complex statistical methods sufficiently sensitive to detect effects that can be small relative to the combined effect of other time- varying...

Ngày tải lên: 23/03/2014, 00:20

Ngày tải lên: 23/03/2014, 16:21

... the methods to the NMMAPS database, the largest publicly avail- able database containing time series data of air pollution and mortality. Our analysis of the NMMAPS data is important because ... and characterizing model uncertainty in mul- ticity time series studies of air pollution and mortality. The complexity of the time series data requires the application of sophisticated statistical ... Study data analysis We apply our methods to the NMMAPS database which comprises daily time series of air pol- lution levels, weather variables and mortality counts. The original study examined data...

Ngày tải lên: 29/03/2014, 18:20

... these patterns do exist in such hourly data- sets. [5] P. Ormerod, Surprised by depression, Financial Times, February 19, 2001. 7 4780 4790 4800 4810 0 10 20 30 40 50 60 time N(t) P(t) 80 90 100 110 120 130 140 150 Fig. ... ‘price- change’ ∆P (t)attimet [3]. Here we just assume knowledge of the resulting price -series P (t): we do not exploit any additional information contained in N(t). Agents have a time horizon T over ... cond-mat/0008387. 6 historic price time probability future price distribution ‘corridors’ Fig. 2. Predicted distributions for future price movements. 2 Next timestep prediction As an illustration of next timestep prediction,...

Ngày tải lên: 23/04/2014, 16:11

... mathematical terminology, a time series is properly described as a temporal sequence; and the term series is reserved for power series. By transforming temporal sequences into power series, we can make ... greater regularity of the second series. Neither of our two series accurately mimics the sunspot index; although the second series seems closer to it than the series generated by Yule’s equation. ... kind or another; by this process coherent series are obtained from other coherent series or from incoherent series. By taking, as his basis, a purely random series obtained by the People’s Com- missariat...

Ngày tải lên: 27/05/2014, 02:44

... observed time series and the same time series shifted k time points into the future. Thus, the correlogram of the least squares errors ˆÂ i = y i − ˆa − ˆ bx i in Figure 1.3 (which is also a time series) consists ... third important application of time series analysis is the ability to predict or forecast (unknown) time series observations in the future. This aspect of time series analysis is discussed in ... dynamic properties cannot be observed directly from the data. The unobserved dynamic process at time t is referred to as the state of the time series. The state of a time series may consist of several components,...

Ngày tải lên: 10/06/2014, 21:34

... the population. Study data were derived from existing databases that are maintained at each clinic site and include data routinely collected as part of patient care. These data include basic socio-demographic, ... endeavor to simultaneously improve training and ongoing supervi- Table 3: Time to starting HAART in adults by intervention, time and health service characteristics Variable Bivariate Multivariate HR ... improved the rate at which HAART-eligible patients start ARV treatment. Methods We conducted a time- series intervention trial in two HIV clinics in central Mozambique. These two outpatient HIV clinics...

Ngày tải lên: 18/06/2014, 17:20

... and behavioral time series have typically shown greater variability when less data points are used. Eke and colleagues recommended using time series with at least 2 12 (4096) data points due ... such data the variation between successive points in the time series is more likely to change direction than to continue in the same direc- tion, thus reflecting a more tightly controlled time series. Reliability ... biological time series data, which they termed Detrended Fluctua- tion Analysis (DFA). The first step is to subtract the mean from the original series, which is then integrated: This series is...

Ngày tải lên: 19/06/2014, 10:20

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 21/06/2014, 08:20