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» Dynamic simulation for time series modeling
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ICML
2004
IEEE
14 years 9 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
WSC
2007
13 years 11 months ago
Simulating pandemic influenza risks of US cities
We describe the spatial Agent-Based Computational Laboratory that we have developed to study the pandemic influenza risks of US cities. This research presented a series of interes...
Catherine Dibble, Stephen Wendel, Kristofor Carle
WSC
2004
13 years 10 months ago
Steady-State Simulation Analysis Using Asap3
We discuss ASAP3, a refinement of the batch means algorithms ASAP and ASAP2. ASAP3 is a sequential procedure designed to produce a confidence-interval estimator for the expected r...
Natalie M. Steiger, Emily K. Lada, James R. Wilson...
JGS
2010
106views more  JGS 2010»
13 years 3 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
GEOINFO
2004
13 years 10 months ago
Uncertainty in Digital Elevation Data Used For Geophysical Flow Simulation
: Elevation information plays a crucial role in simulations of geophysical flows providing the slope and curvature information required to solve a series of differential equations....
Laércio Massaru Namikawa, Chris S. Renschle...