Purpose - China's real estate market is rampantly expanding. The purpose of this paper is to examine the factors underpinning China's real estate price escalation from 1998 to 2009. Design/methodology/approach -
error correction modelThis paper is the first attempt to look at inflation dynamics and monetary transmission mechanisms in Armenia in the context of a full information model containing three interrelated markets: foreign exchange, money, and labor. Using the vector error correction model (VECM) ...
Error using particleswarm>makeState (line 699) When OPTIONS.Vectorized is 'on', your objective function must return a vector of length equal to the number of particles specified in OPTIONS.SwarmSize. Error in particleswarm>pswcore (line 164) state = makeS...
ARIMA(0,1,0)= random walk: If the time series is not stationary, the simplest possible model for it is a random walk model. A random walk is different from a list of random numbers because the next value in the sequence is a modification of the previous value in the sequence. This i...
models like vector autoregression and vector error correction, and switching models. Use Bayesian and state-space models for situations requiring more flexible models. Once the model is specified, generate Monte Carlo simulations to generate distributions or get deterministic forecasts from the model. ...
The SOM initializes weights for each node and chooses a vector at random from the training data. The SOM examines every node to find which weights are the most likely input vector. The winning node is called the BMU. The SOM discovers the BMU’s neighborhood, and the number of neighbors...
Quantum computers can be emulated on classical computers, but the results are slow and impractical for normal use. The vectors needed to simulate the movement and size of a qubit can be quite large, and performing a single computational step requires multiplying every vector. Because of this, cl...
Once trained, the model can predict the output for new, unseen data. Common examples of supervised learning algorithms include linear regression for regression problems and logistic regression, decision trees, and support vector machines for classification problems. In practical terms, this could look ...
Each third party is a potential attack vector for a data breach or cyber attack. If a vendor has a vulnerable attack surface, it could be used to gain access to your organization. The more vendors you use, the larger your attack surface and the more potential vulnerabilities you could face...
field. linear transformations, vector spaces, matrices, and eigenvalues are examples of linear algebra concepts that find applications in areas such as data preprocessing, dimensionality reduction, regression, and classification algorithms. how does linear coding contribute to error detection and correction?