Statistical gravitational waveform models: What to simulate next?

To Simulate or Not to Simulate: What Are the Questions?

Simulation is a powerful method in science and engineering. However, simulation is an umbrella term, and its meaning and goals differ among disciplines. Rapid advances in neuroscience and computing draw increasing attention to large-scale brain simulations. What is the meaning of simulation, and what should the method expect to achieve? We discuss the concept of simulation from an integrated sc...

Statistical Approach to Biosurveillance in Crisis: What is Next?

Motivated by the threat of bioterrorism, biosurveillance / syndromic surveillance systems are now in crisis: with the original purpose of early detection, and more than 10 years in existence, no health department has reported using them for this purpose. This has led to a shift away from only early detection of bioterrorist attacks. The goal has been expanded in two directions: firstly, to incl...

Models — What Comes after the Next Generation ?

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What Statistical Models Help to Detect Land-Change Mechanisms?

Statistical models are widely used to explore relationships between aggregate variables in a land-use system by inductively fitting empirical data, for example with regression models. Seldom do researchers know whether, and if so how much, the relationships thus obtained reflect the underlying mechanisms, because of uncertainties existing in the system of interests, especially when the system i...

Statistical Models for Causation : What Inferential Leverage