• No results found

Scenario 3: Change point model with a large change

Asymptotics for change-point tests and change-point estimators

Asymptotics for change-point tests and change-point estimators

... corresponding change-point estimators. In both cases, we first consider a change in the mean for independent observations but relaxing the moment ...of change-point test having a random- ...

235

Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points

Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points

... the change-point set identified seems sensible, we then investigate what the corresponding ˆ θ estimates look like, and whether any interesting conclusions can be drawn from our ...annealing ...

38

On a Poissonian Change-Point Model with Variable Jump Size

On a Poissonian Change-Point Model with Variable Jump Size

... A model of Poissonian observation having a jump (change-point) in the intensity function is ...of change-point estimation and testing for the model of a signal in white Gaussian ...

25

A Bivariate Software Reliability Model with Change Point and Its Applications

A Bivariate Software Reliability Model with Change Point and Its Applications

... Factor, Change-Point, Bivariate Software Re- liability Growth Model, Optimal Testing-Effort Expending Problem ...growth model (abbreviated as SRGM) [1-4] is known as one of the useful ...

7

Dirichlet Process Hidden Markov Multiple Change point Model

Dirichlet Process Hidden Markov Multiple Change point Model

... Chib’s model under the true change-point number and the same model specification as in (A-3) and ...(A-4). 3 The posterior means and standard deviations of parameters are ...

27

Mean change-point model for aero-engine component faults

Mean change-point model for aero-engine component faults

... maintenance, change-point recognition, oil ...state. Change-point theory [10] has been recently developed to study quantitative changes in nonlinear statistical ...mean ...

7

A Kernel Multiple Change-point Algorithm via Model Selection

A Kernel Multiple Change-point Algorithm via Model Selection

... a large collection of candidate ...involving model selection within a large collection of ...of change —in the covariance between coordinates or in the autocorrelation structure of each ...

56

Sequential Change Point Detection.

Sequential Change Point Detection.

... to Change Point Detection The problem of testing the structural stability or the consistency of model parameters is usually called change point ...structural change occurs, we ...

95

CLIMATE CHANGE AGRICULTURE NEXUS: INDIAN SCENARIO

CLIMATE CHANGE AGRICULTURE NEXUS: INDIAN SCENARIO

... A large amount of energy is used in cultivation and processing of crops like sugarcane, food grains, vegetables and fruits, which can be recovered by utilizing residues for energy ...climate change ...

13

Icelandic Fisheries: Scenario Planning for Climate Change

Icelandic Fisheries: Scenario Planning for Climate Change

... a large contributor and businesses will need to be able to withstand changes in the climate if they wish to ...climate change issues, but climate change has not been implemented into the business ...

54

Mapping Change in Large Networks

Mapping Change in Large Networks

... One possibility would be to use a resampling technique such as the bootstrap, which assesses the accuracy of an estimate by resampling from the empirical distribution of observations [12]. But we have only a single ...

7

Estimation in a linear multivariate measurement error model with a change point in the data

Estimation in a linear multivariate measurement error model with a change point in the data

... A linear multivariate measurement error model AX = B is considered. The errors in h A B i are row-wise finite dependent, and within each row, the errors may be correlated. Some of the columns may be observed ...

22

Strengthened Change Point Detection Model for Weak Mean Difference Data

Strengthened Change Point Detection Model for Weak Mean Difference Data

... detect change points. Although the accuracy of change point detection has been improved, this paper also has several ...of change point detection is not discussed in ...

13

Limit Theory of Model Order Change Point Estimator for GARCH Models

Limit Theory of Model Order Change Point Estimator for GARCH Models

... a change-point process which is based on the Manhattan distance of the sample autocorrelation function with applications to GARCH processes is ...the point processes theory is utilized to obtain ...

20

On testing the change-point in the longitudinal bent line quantile regression model

On testing the change-point in the longitudinal bent line quantile regression model

... exterior point methods are compet- itive with least squares in terms of computational ...for large scale ...interior point algorithms which dramatically improve the computational ...for large ...

128

Open Source Software Reliability Growth Model by Considering Change Point

Open Source Software Reliability Growth Model by Considering Change Point

... time point called ...growth model has been developed by considering change- point in order to cater diverse and huge user profile, irregular state of bug tracking system and heterogeneity in ...

6

Industrial districts in a globalizing world: A model to change or a model of change?

Industrial districts in a globalizing world: A model to change or a model of change?

... 2. Modenese metalworking “on the move” Our surveys and interviews generally paint a picture of Modenese metalworking district that has done quite well in recent years, and that maintains many of the classic elements of ...

51

Small price change response to a large devaluation in a menu cost model

Small price change response to a large devaluation in a menu cost model

... will change after an exchange-rate ...price change on non-tradables will, however, be small since BER assume a moderate elasticity of substitution between tradables and ...

40

Consistent change-point detection with kernels

Consistent change-point detection with kernels

... of change-points and their locations with a large probability? If yes, at which speed does KCP estimate the change-point locations? This paper answers these questions, showing that KCP has ...

42

Change-point methods on a sequence of graphs

Change-point methods on a sequence of graphs

... a large class of applications, we consider the general family of attributed graphs where both topology (number of vertexes and edge configuration) and related attributes are allowed to change also in the ...

13

Show all 10000 documents...

Related subjects