  We describe some recent approaches to likelihood based inference in the
presence of nuisance parameters. Our approach is based on plotting the
likelihood function and the $p$-value function, using recently developed third
order approximations. Orthogonal parameters and adjustments to profile
likelihood are also discussed. Connections to classical approaches of
conditional and marginal inference are outlined.
