Statistical inference

…data can be incorporated into statistical inference without losing trustworthy uncertainty estimates. Researchers from several disciplines will study the implications of black-box models for inference and decision-making and develop methods for assessing and improving reliability.

Carry out independent and collaborative research in numerical analysis, machine learning, statistical inference, computational biophysics or scientific computing at the Center for Computational Mathematics. Fellows receive mentoring, computing resources and a travel/research budget, contribute to publications and potentially open-source software, and may mentor summer students. Appointments initially last two years and may be renewed for a third based on performance. The anticipated start is July–October 2027. This is a New York City onsite position allowing one day per week working from home.

…Apply machine learning and statistical inference to neural recordings, construct biologically realistic networks and help shape research directions at an early-stage company working at the intersection of neuroscience and computation. On-site engagement is preferred and international candidates may apply. The advertised salary range is USD 132,000–259,000; no fixed closing date is stated.

…possible biosignatures and the role of statistical inference, alongside questions about habitable worlds and moons beyond our solar system.

…Such learning can be described by statistical inference models in which environmental priors adapt to new information across time and influence future estimates. For instance, we may learn that certain colors are overrepresented in the world (e.g., I will see more greens and browns if I am in a forest), leading to cognitive biases in favor of more common environmental features. Humans display systematic biases when retaining estimates of an object's features in working memory, which may reflect learned priors of object feature values.

…(metacognitive) model that uses statistical inference to produce calibrated confidence reports. Consistent with model predictions, the variance and calibration of rat confidence increases as their behavioral performance impro