We propose a State-Space Model (SSM) for commodity prices that combines the competitive storage model with stochastic trend. This approach fits into economic rationality of decisions and adds to previous deterministic trend specifications model. For Bayesian posterior analysis SSM, which is nonlinear in latent states, we used Markov chain Monte Carlo algorithm based on particle marginal Metropo...

The Source Speciic Multicast (SSM) service model and protocol architecture have recently been proposed as an alternative to the currently deployed Any Source Multicast (ASM) service. SSM attempts to solve many of the deployment problems of ASM including protocol complexity, inter-domain scalability, and security weaknesses. However, the SSM protocol architecture is not radically diierent from t...

Perceptions of the Same Site Model (SSM) of fieldwork, where students complete a Level I and Level II fieldwork requirement in the same setting, were examined by survey. The benefits, drawbacks, and implications of the SSM are discussed. Fieldwork educators and students identified gaining familiarity with the setting, increased comfort and decreased anxiety, and preparation for Level II fieldwo...

In this talk we discuss an E 6 inspired supersymmetric (SUSY) model with an extra U(1) N gauge symmetry under which right-handed neutrinos have zero charge. In this exceptional supersymmetric standard model (E 6 SSM) the µ–term is generated dynamically after the elec-troweak symmetry breaking. We specify the particle content of the model and argue that the presence of a Z ′ and exotic particles...

We propose an evolutionary state space model (E-SSM) for analyzing high dimensional brain signals (in particular, local field potentials in rats) whose statistical properties evolve over the course of a non-spatial memory experiment. Under E-SSM, brain signals are modeled as mixtures of components with oscillatory activity at defined frequency bands. One unique feature of E-SSM is that the comp...

We consider the possibility that single-source multicast (SSM) will become a universal multicast service, enabling large-scale distribution of content from a few well-known sources to a general audience. Operating under this assumption, we explore the problem of building the traditional IP model of any-source multicast on top of SSM. Toward this end, we design an SSM proxy service that allows a...

OBJECTIVES An important measure for the diagnosis and monitoring of knee osteoarthritis is the minimum joint space width (mJSW). This requires accurate alignment of the x-ray beam with the tibial plateau, which may not be accomplished in practice. We investigate the feasibility of a new mJSW measurement method from stereo radiographs using 3D statistical shape models (SSM) and evaluate its sens...

A method is proposed to increase the accuracy of satellite sensorderived near-surface humidity estimates. The method uses an operational atmospheric circulation model to correct the satellite sensor estimates of humidity from their regional bias. The method was applied to twelve orbits of the Special Sensor Microwave/Imager (SSM/I) selected between 1997 and 1998. The SSM/I-derived humidity esti...

Adsorption and desorption by indoor surface materials can have significant impacts on the level of volatile organic compounds (VOCs) indoors. The surface sink model (SSM) was developed to account for these interactions in an indoor air quality model. Two types of scale-up experiments were conducted to validate the SSM that was developed based on small-scale chamber experiments. Conflicting resu...

This is the third paper in a series of four papers which introduce cybersusy, which is a new mechanism for supersymmetry breaking in the supersymmetric standard model (SSM). In this paper we display some solutions to the constraint equations of BRS cohomology in the SSM. In particular we discuss the leptonic dotspinor pseudosupermultiplets that were used in Cybersusy I to calculate leptonic sup...