Band-power estimates of cosmic microwave background fluctuations are now routinely used to place constraints on cosmological parameters. For this to be done in a rigorous fashion, the full likelihood function of band-power estimates must be employed. Even for Gaussian theories, this likelihood function is not itself Gaussian, for the simple reason that band-powers measure the variance of the random sky fluctuations. In the context of Gaussian sky fluctuations, we use an ideal situation to motivate a general form for the full likelihood function from a given experiment. This form contains only two free parameters, which can be determined if the 68% and 95% confidence intervals of the true likelihood function are known. The ansatz works remar...
The cosmic microwave background (CMB) constitutes one of the most powerful probes of cosmology avail...
Using an approximate likelihood method adapted to band-power estimates, we analyze the ensemble of f...
Using a nonparametric function estimation methodology, we present a comparative analysis of the Wilk...
We discuss the problem of constraining cosmological parameters with cosmic microwave background band...
The majority of present efforts to constrain cosmological parameters with cosmic microwave backgroun...
Powerful constraints on theories can already be inferred from existing CMB anisotropy data. But perf...
We discuss the constraints one can place on cosmological parameters using current cosmic microwave b...
A maximum-likelihood method is presented for estimating the power spectrum of anisotropies in the co...
Most parameter constraints obtained from cosmic microwave background (CMB) anisotropy data are bas...
Much attention has been given to the problem of estimating cosmological parameters from the $C_l$ me...
CMB anisotropy data could put powerful constraints on theories of the evolution of our Universe. Usi...
The primary result of most observations of cosmic microwave background (CMB) anisotropy are estimate...
Although the broad outlines of the appropriate pipeline for cosmological likelihood analysis with CM...
We describe a class of observational strategies for probing the anisotropies in the cosmic microwave...
With the release of the data from the Boomerang and MAXIMA-1 balloon flights, estimates of cosmologi...
The cosmic microwave background (CMB) constitutes one of the most powerful probes of cosmology avail...
Using an approximate likelihood method adapted to band-power estimates, we analyze the ensemble of f...
Using a nonparametric function estimation methodology, we present a comparative analysis of the Wilk...
We discuss the problem of constraining cosmological parameters with cosmic microwave background band...
The majority of present efforts to constrain cosmological parameters with cosmic microwave backgroun...
Powerful constraints on theories can already be inferred from existing CMB anisotropy data. But perf...
We discuss the constraints one can place on cosmological parameters using current cosmic microwave b...
A maximum-likelihood method is presented for estimating the power spectrum of anisotropies in the co...
Most parameter constraints obtained from cosmic microwave background (CMB) anisotropy data are bas...
Much attention has been given to the problem of estimating cosmological parameters from the $C_l$ me...
CMB anisotropy data could put powerful constraints on theories of the evolution of our Universe. Usi...
The primary result of most observations of cosmic microwave background (CMB) anisotropy are estimate...
Although the broad outlines of the appropriate pipeline for cosmological likelihood analysis with CM...
We describe a class of observational strategies for probing the anisotropies in the cosmic microwave...
With the release of the data from the Boomerang and MAXIMA-1 balloon flights, estimates of cosmologi...
The cosmic microwave background (CMB) constitutes one of the most powerful probes of cosmology avail...
Using an approximate likelihood method adapted to band-power estimates, we analyze the ensemble of f...
Using a nonparametric function estimation methodology, we present a comparative analysis of the Wilk...